WEBVTT - Will Fed Cut Rates After Better-Than-Expected June Core PCE?

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg business

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<v Speaker 1>Week Inside from the reporters and editors who bring you

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<v Speaker 1>America's most trusted business magazine, plus global business, finance and

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<v Speaker 1>tech news. The Bloomberg Business Week Podcast with Carol Messer

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<v Speaker 1>and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Interesting story right through about history being on the side

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<v Speaker 2>of stock and bond balls as FED officials kicked off

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<v Speaker 2>that two day policy meeting. Today, equities and bonds have

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<v Speaker 2>posted weekly gains amid six of the eight FED meetings

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<v Speaker 2>over the past year. This according to an analysis team

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<v Speaker 2>by City Group.

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<v Speaker 3>And yet the devil always in the details with the

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<v Speaker 3>key points to focus on in tomorrow's FED decision. Back

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<v Speaker 3>with us, we have Steven Skanke, chief economic advisor at

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<v Speaker 3>the Wealth Advisor kill Point. Steve also a former US

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<v Speaker 3>Treasury in White House National Security Council staff member serving

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<v Speaker 3>during the Nixon, Ford, Carter, and Reagan administration. Steve joins

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<v Speaker 3>us from Washington, DC. Also here in the studio Bloomberg

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<v Speaker 3>Economics US economist Stuart Paul Stewart. Good to have you

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<v Speaker 3>here in the studio with us. I do want to

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<v Speaker 3>start with you because the FED is not expected to

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<v Speaker 3>make any move tomorrow, but we do are a lot

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<v Speaker 3>of investors that I should say expect to hear signals of

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<v Speaker 3>perhaps a move come September. How do they thread that

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<v Speaker 3>needle where they say, Okay, we're not going to do

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<v Speaker 3>anything in July. Maybe we're not gonna do anything. You know,

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<v Speaker 3>we're not gonna do anything until September. How do you

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<v Speaker 3>do that?

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<v Speaker 4>There are a few different ways that they could sort

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<v Speaker 4>of gently modify the FMC statement, the formal statement that

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<v Speaker 4>comes out, For example, in the opening paragraph, there's a

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<v Speaker 4>line in recent months there has been modest for the

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<v Speaker 4>progress there's a committee two percent inflation target. Just stripping

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<v Speaker 4>out the word modest, just there's been further progress would

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<v Speaker 4>be one of those little gentle.

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<v Speaker 2>Signs we said the devil was in the details. One word,

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<v Speaker 2>that's right.

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<v Speaker 4>They could be a bit more bold and say things

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<v Speaker 4>that if the data evolves as the committee expects, it

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<v Speaker 4>will soon be appropriate to begin cutting rates. That would

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<v Speaker 4>be a much bolder, clearer call for illuming rate cut

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<v Speaker 4>in September.

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<v Speaker 2>All right, I want to bring in Steve and I'm

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<v Speaker 2>just pulling it up on the Bloomberg. So September eighteenth

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<v Speaker 2>is a long way off I think about, you know, Steve,

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<v Speaker 2>We've made progress, a lot of progress in the past year.

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<v Speaker 2>When it comes to inflation, it seems to be settling

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<v Speaker 2>down consistently. We continue to see US economic growth. That's

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<v Speaker 2>a good thing. We got some data today consumer confidence

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<v Speaker 2>rising on an improved outlook for the economy, job openings

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<v Speaker 2>beating forecast. It's this delicate balance. If you were still

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<v Speaker 2>advising the White House, what would you be telling them

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<v Speaker 2>about tomorrow's FED decision?

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<v Speaker 5>Whether they just need to be patient and not seem

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<v Speaker 5>anxious and not jump the gun on it. The Fed

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<v Speaker 5>is navigating this very carefully and really very doubtfully. You know,

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<v Speaker 5>a week or so ago, the FED Chair, the New

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<v Speaker 5>York Fed Bank President, we're all talking about the you know,

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<v Speaker 5>the concern about what was happening in labor markets, and

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<v Speaker 5>are really signaling they're eager to start cutting rates, but

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<v Speaker 5>they really need to see good inflation numbers and then

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<v Speaker 5>lo and behold, they get a reprieve because we get

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<v Speaker 5>better than disinflation numbers with the PCE flator down at

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<v Speaker 5>two and a half percent for the last year, and

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<v Speaker 5>then better expected than expected second quarter economic growth at

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<v Speaker 5>two point eight percent annualized, even though when you dig

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<v Speaker 5>into it it's not quite as good as it looks,

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<v Speaker 5>but kind of is slowing, but not in the tank.

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<v Speaker 5>Inflation is coming down, and even the hard to squeeze

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<v Speaker 5>housing or shelter component of the CPI and PCE to

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<v Speaker 5>flator has started to give up. But you know, it

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<v Speaker 5>had been trending at six and a half to seven

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<v Speaker 5>percent inflation and now it's at four.

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<v Speaker 2>So, Steve, would you be telling, if you were advising

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<v Speaker 2>the White House right now, say hey, listen, guys, go

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<v Speaker 2>take that vacation. We got plenty of time. Just cut

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<v Speaker 2>to the chases. Would you say that?

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<v Speaker 5>I certainly would say that because anything that they could say, Carol,

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<v Speaker 5>is not going to be helpful to the FED doing

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<v Speaker 5>what it really wants to do, and that is cutting

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<v Speaker 5>rates in September. Now they can applaud positive economic growth,

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<v Speaker 5>they can applaud in plation coming down. But I would

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<v Speaker 5>tell the folks in the White House to say absolutely

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<v Speaker 5>nothing about the FED meeting and what the FED is doing.

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<v Speaker 3>They're independent, of course, Carol, Remember the Fed. The FED

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<v Speaker 3>is politically in the parent You've heard Stuart. Economic data

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<v Speaker 3>that you have an eye on at Bloomberry Economics as

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<v Speaker 3>US economist, Where are you starting to see concerns? Do

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<v Speaker 3>you think the Fed is acting too slowly on these concerns.

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<v Speaker 4>I don't, So you might want to rewind the clock

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<v Speaker 4>a little bit and think back to Q four of

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<v Speaker 4>twenty twenty three when the inflation data were so good

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<v Speaker 4>and everybody was expecting a rate cut to come in March.

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<v Speaker 4>And so things can change pretty quickly.

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<v Speaker 2>We have had a little sibling and you psych them

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<v Speaker 2>and you pull something away or like, you know, the

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<v Speaker 2>right psych that happening.

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<v Speaker 6>Speaking from experience, Carol, Yeah, there's a lot of siblings.

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<v Speaker 1>Yeah.

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<v Speaker 4>The data in the economic landscape can change relatively quickly,

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<v Speaker 4>and where we've seen the most change so far has

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<v Speaker 4>been in the loosening of the labor market. It was

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<v Speaker 4>just in the June Summary of Economic Projections that the

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<v Speaker 4>FED is expecting to end the year with four point

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<v Speaker 4>one percent unemployment and we're already there, and I think

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<v Speaker 4>that odds are favoring us triggering the PSALM rule that

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<v Speaker 4>real time recession indicator in August.

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<v Speaker 2>Remind us what that rule is.

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<v Speaker 4>So if the three month moving average of the unemployment

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<v Speaker 4>rate exceeds the twelve month minimum by more than fifty

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<v Speaker 4>bases points by half a percentage point, it's typically a

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<v Speaker 4>good indicator that a recession has already begun, that you're

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<v Speaker 4>in the early innings of a recession. So we're expecting,

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<v Speaker 4>not only are we expecting to not end the year

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<v Speaker 4>at four point one percent unemployment, which is where we

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<v Speaker 4>are and which is where the FED expects to end

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<v Speaker 4>the year, we think that we're going to trigger or

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<v Speaker 4>that real time recession indicator before the September meeting, which

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<v Speaker 4>would warrant that cut in September.

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<v Speaker 6>Is there a chance it's triggered on Friday?

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<v Speaker 4>Very low probability that is triggered on Friday. We basically

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<v Speaker 4>need to get a move to four point two and

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<v Speaker 4>a half, right, So four point twenty five percent unemployment,

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<v Speaker 4>so a bit out of range. Consensus is expecting four

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<v Speaker 4>point one percent unemployment rate. We think that it's more

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<v Speaker 4>likely going to be the case that it's going to

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<v Speaker 4>be triggered in the August job report, which comes just

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<v Speaker 4>a few days before the September meeting.

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<v Speaker 2>Well, I kept saying, I kept thinking, you know, we

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<v Speaker 2>had that inverted yield curve for so long. I mean,

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<v Speaker 2>do we get off Scott's free you know that we

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<v Speaker 2>don't ultimately get a recession. I mean, Steve Skanke, if

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<v Speaker 2>we get a recession, is it touch and go because

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<v Speaker 2>we have enough growth or could it be something more

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<v Speaker 2>dramatic and problematic.

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<v Speaker 5>Well, the thing about it, Carol, that's a very good

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<v Speaker 5>question is is that these things are never linear. It's

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<v Speaker 5>not that it just sort of eases into recession. Something

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<v Speaker 5>triggers that and pushes it, And most likely it would

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<v Speaker 5>be mild, just given everything else that's going on in

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<v Speaker 5>the economy. But it isn't necessarily a mild recession. And

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<v Speaker 5>so the Fed treads very carefully. And as Stewart said,

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<v Speaker 5>this so rule. It's a statistical observation. It's not a

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<v Speaker 5>syllogistic argument as to why it happens. But it has

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<v Speaker 5>a good enough statistical basis that we really need to

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<v Speaker 5>be careful about that and watch for it. The other

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<v Speaker 5>thing is, and I agree with Stewart, it's very unlikely

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<v Speaker 5>that we would see unemployment trigger up to what would

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<v Speaker 5>be needed to trigger the Son rule. But the household

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<v Speaker 5>survey has been so quirky since since COVID and the

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<v Speaker 5>shutdown of the economy that and it digresses so much

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<v Speaker 5>from the employer survey that we could actually end up

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<v Speaker 5>with something. It pushes unemployment to four point two or

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<v Speaker 5>four point two and a half. Yeah, and then we've

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<v Speaker 5>we've got this phenomenon of well what does it mean?

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<v Speaker 5>And of course markets would go crazy. Will they try

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<v Speaker 5>to figure that out?

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<v Speaker 2>Got it?

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<v Speaker 6>Stuart?

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<v Speaker 3>Ten seconds, One hundred and seventy five thousand is the

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<v Speaker 3>number that economists are expecting with the jobs report on Friday.

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<v Speaker 6>Does it come in above or below that?

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<v Speaker 4>We're a smidge above, but we see the downside risk

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<v Speaker 4>to one seventy five. The effects of Hurricane Beryl are

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<v Speaker 4>likely showing up in the data. We've already seen it

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<v Speaker 4>effect the unemployment insurance claims data just two weeks ago

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<v Speaker 4>in Texas.

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<v Speaker 3>All right, there we go, so ten seconds, he did it.

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<v Speaker 2>Love when people listen. Thank you so much, Jeeves Skanky,

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<v Speaker 2>chief economic advisor at keel Point, and of course our

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<v Speaker 2>own Steward Paul Blueberg Economics US economists.

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<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

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<v Speaker 7>And much.

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<v Speaker 2>President Kamala Harris is kicking off a push to compete

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<v Speaker 2>against the Republican Donald Trump in a wider swath of

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<v Speaker 2>battleground states with a rally today in Atlanta. Harris's event

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<v Speaker 2>in George's largest city is her first major effort to

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<v Speaker 2>put a larger group of states back into place since

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<v Speaker 2>launching her campaign back on July twenty first.

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<v Speaker 3>Meantime, the presidential race is on the money race that

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<v Speaker 3>is among our most read on the Bloomberg terminal today

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<v Speaker 3>is an exclusive about hedge fund billionaire Ken Griffin, who's

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<v Speaker 3>spending tens of millions of dollars to back Republican primary

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<v Speaker 3>candidates across the US. The story reported by Bloomberg News

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<v Speaker 3>national reporter Mike Smith and Bill Allison. Bloomberg News campaign

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<v Speaker 3>finance reporter Mike joins us from Miami. Bill in our

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<v Speaker 3>DC bureau. Mike, I do want to start with you,

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<v Speaker 3>how would you characterize the type of candidate that Griffin

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<v Speaker 3>is giving to right now? Because there's a lot of

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<v Speaker 3>nuance here.

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<v Speaker 8>Yeah, there is a lot of nuance and it's not

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<v Speaker 8>entirely clear exactly what he's looking for, but in general,

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<v Speaker 8>it's sort of old school, pro business, conservative values that

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<v Speaker 8>he is backing. For example, sample national defense, and one

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<v Speaker 8>of the main things his promoting is sort of helping

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<v Speaker 8>the American dream, which is obviously a very broad description,

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<v Speaker 8>but that's how he describes him.

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<v Speaker 2>Does that backing Mike include Donald Trump at this point.

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<v Speaker 8>Well, so far, No, as far as we can see

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<v Speaker 8>in the most recent filings in terms of money, he's

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<v Speaker 8>yet to give money to Donald Trump. He hasn't ever

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<v Speaker 8>given money to Donald Trump that we know of, and

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<v Speaker 8>he's quite guarded in saying whether he's going to back

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<v Speaker 8>Trump or not. He's certainly a Republican. He gives to

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<v Speaker 8>Republican causes and candidates, but Trump has yet to be seen.

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<v Speaker 2>So Bill, let's go through the money. What do we

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<v Speaker 2>know about Ken Griffin and his donations to the GOP

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<v Speaker 2>going back the last decade or so, what has he

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<v Speaker 2>typically supported, how much has he given up and where

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<v Speaker 2>does it go? And what is he doing today?

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<v Speaker 9>Really since twenty sixteenocused on Congress, both the Senate and

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<v Speaker 9>the House, he's given I think two hundred and forty

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<v Speaker 9>eight million dollars since twenty fifteen, which is an office

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<v Speaker 9>a lot of money, about a quarter billion dollars, and

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<v Speaker 9>he's focused largely on super packs that again elect members

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<v Speaker 9>of Congress. And in the last couple of cycles, he's

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<v Speaker 9>really looked at early money and having an influence on primaries,

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<v Speaker 9>like who gets chosen to be to get elected to Congress,

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<v Speaker 9>you know, like you'll look at safe Republican districts. He'll

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<v Speaker 9>put a lot of money in behind what he used

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<v Speaker 9>as a superior candidate and try to get that person

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<v Speaker 9>into Congress. And so far this cycle, he's spent more

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<v Speaker 9>than seventy five million dollars into political committees at the

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<v Speaker 9>federal level.

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<v Speaker 3>Mike, how successful has he been over the last decade,

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<v Speaker 3>because it seems like he hasn't always bet on the

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<v Speaker 3>right horse, so to speak. He supported the opponent to JD.

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<v Speaker 3>Vance and is a Ohio Senate race that JD Vance

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<v Speaker 3>ended up who Jdvans ended up beating. He's thinking about

0:11:57.600 --> 0:12:01.319
<v Speaker 3>supporting somebody who could challenge Matt Gates. He has supported

0:12:01.360 --> 0:12:04.600
<v Speaker 3>Nicky Haley in the past, Kevin McCarthy in the past

0:12:04.640 --> 0:12:06.360
<v Speaker 3>as well. How successful has he been?

0:12:07.360 --> 0:12:10.320
<v Speaker 8>Yeah, I mean, that's an illusive thing to answer, but

0:12:10.400 --> 0:12:14.319
<v Speaker 8>we can say that this this year, this this cycle,

0:12:14.760 --> 0:12:19.680
<v Speaker 8>he's gotten behind sixty different candidates in congressional races and

0:12:19.720 --> 0:12:22.319
<v Speaker 8>he's you know, they've they've won about two thirds of

0:12:22.360 --> 0:12:24.520
<v Speaker 8>those or a little bit more. So it's not a

0:12:24.559 --> 0:12:28.600
<v Speaker 8>bad record. He has won a lot, but he's also

0:12:28.720 --> 0:12:31.000
<v Speaker 8>lost some And a lot of his money has gone

0:12:31.000 --> 0:12:33.960
<v Speaker 8>into losing races and a lot has gone into winning races.

0:12:34.320 --> 0:12:36.960
<v Speaker 2>You know, And I do wonder too, Bill, You know,

0:12:38.080 --> 0:12:40.760
<v Speaker 2>we often kid, but it's it's very true. Money talks, right,

0:12:40.800 --> 0:12:45.040
<v Speaker 2>and money gets attention. How influential has he been really

0:12:45.120 --> 0:12:48.560
<v Speaker 2>in kind of shaping what's going on in the Republican Party?

0:12:48.600 --> 0:12:51.400
<v Speaker 2>We talked so much about it being, you know, Donald

0:12:51.400 --> 0:12:55.080
<v Speaker 2>Trump's party right now, but how much has he really

0:12:55.800 --> 0:12:59.679
<v Speaker 2>been influential over the GOP overall?

0:13:00.640 --> 0:13:03.240
<v Speaker 9>Well, the Republican operatives that we talk to, the people

0:13:03.280 --> 0:13:05.959
<v Speaker 9>who run super packs, the people who recruit candidates, the

0:13:06.000 --> 0:13:08.800
<v Speaker 9>people who really kind of do that nuts and bolts

0:13:08.840 --> 0:13:11.240
<v Speaker 9>work of running the party say that, you know, he's

0:13:11.240 --> 0:13:15.679
<v Speaker 9>fundamental to their success. He's he's very influential. He's very important. Uh,

0:13:15.720 --> 0:13:17.719
<v Speaker 9>if you have an idea for a super pack, you

0:13:17.760 --> 0:13:21.120
<v Speaker 9>want to elect veterans, you want to elect uh, women

0:13:21.160 --> 0:13:23.840
<v Speaker 9>with business experience. There's a whole broad range of folks

0:13:23.880 --> 0:13:27.400
<v Speaker 9>who do different kinds of superpacks. He's somebody who's definitely

0:13:27.400 --> 0:13:29.120
<v Speaker 9>gonna be on your list to try to get, you know,

0:13:29.280 --> 0:13:31.360
<v Speaker 9>to at least to his advisors to make your pitch

0:13:31.440 --> 0:13:32.880
<v Speaker 9>to say, this is what my plan is, this is

0:13:32.880 --> 0:13:35.160
<v Speaker 9>what I'd like to do. And you know, if he

0:13:35.200 --> 0:13:37.120
<v Speaker 9>decides to fund you, you have a good chance of

0:13:37.480 --> 0:13:39.720
<v Speaker 9>of you know, also drawing money from other donors.

0:13:40.760 --> 0:13:42.800
<v Speaker 3>Bill, somebody might read a story like this and and

0:13:42.920 --> 0:13:46.040
<v Speaker 3>come away with a really cynical view that, you know,

0:13:46.920 --> 0:13:50.679
<v Speaker 3>politicians can be I'm not gonna say they can be bought,

0:13:50.720 --> 0:13:53.880
<v Speaker 3>but certainly people with power are able to donate a

0:13:53.880 --> 0:13:57.920
<v Speaker 3>lot of money, uh, to super packs that go around

0:13:57.960 --> 0:14:02.680
<v Speaker 3>traditional campaign finance. Just give some context as to how

0:14:02.720 --> 0:14:06.000
<v Speaker 3>something like this is is legal and how super PACs

0:14:06.000 --> 0:14:10.400
<v Speaker 3>are able to operate in this world when certain individuals

0:14:10.400 --> 0:14:12.800
<v Speaker 3>are only allowed to give a small, a relatively small

0:14:12.840 --> 0:14:15.600
<v Speaker 3>amount of money to individual candidates.

0:14:16.520 --> 0:14:19.160
<v Speaker 9>Boy, there's you know, there's a famous saying in politics

0:14:19.200 --> 0:14:21.760
<v Speaker 9>that you know, there are three important things in politics

0:14:21.840 --> 0:14:24.360
<v Speaker 9>money and I forget what the other two are. And

0:14:24.440 --> 0:14:27.200
<v Speaker 9>this is this has been kind of consistent throughout history.

0:14:28.280 --> 0:14:31.120
<v Speaker 9>Super PACs are legal because of basically the First Amendment.

0:14:31.200 --> 0:14:33.320
<v Speaker 9>The Supreme Court held that you know, if you're if

0:14:33.360 --> 0:14:36.960
<v Speaker 9>you're speaking independently, i e. Not donating to donating to

0:14:37.000 --> 0:14:39.360
<v Speaker 9>a politician, but donating to a group that tries to

0:14:39.400 --> 0:14:43.520
<v Speaker 9>elect politicians at that's First Amendment protected activity. And that

0:14:43.960 --> 0:14:46.480
<v Speaker 9>something called the Citizens United Case gave us these these

0:14:46.520 --> 0:14:50.440
<v Speaker 9>creatures or these super PACs, and you know, you know,

0:14:50.520 --> 0:14:54.120
<v Speaker 9>it's it is fairly you know, it is fairly important

0:14:54.160 --> 0:14:56.960
<v Speaker 9>in US politics that you know, you be able to

0:14:57.040 --> 0:15:00.320
<v Speaker 9>have you know, there's there's three different kinds of owns.

0:15:00.320 --> 0:15:02.640
<v Speaker 9>There's small dollar donors which are very important, but you

0:15:02.680 --> 0:15:04.760
<v Speaker 9>need millions and millions of them to add up to

0:15:05.080 --> 0:15:06.800
<v Speaker 9>you know, a lot of money. And then you have

0:15:06.880 --> 0:15:09.800
<v Speaker 9>a handful of people there's the folks in the middle,

0:15:09.840 --> 0:15:11.520
<v Speaker 9>and you have the handful of people at the top

0:15:11.840 --> 0:15:14.760
<v Speaker 9>who can with one check, you know, fund you know,

0:15:15.640 --> 0:15:18.280
<v Speaker 9>a huge, huge advise. You know, we've seen already in

0:15:18.280 --> 0:15:21.880
<v Speaker 9>this campaign an investor named Timothy Mellon who put fifty

0:15:21.880 --> 0:15:24.640
<v Speaker 9>million dollars into a super pack backing Donald Trump. I

0:15:24.680 --> 0:15:28.680
<v Speaker 9>mean it's we've had, you know, we've done stories that

0:15:28.760 --> 0:15:31.120
<v Speaker 9>Elon Musk is thinking of putting forty five million dollars

0:15:31.160 --> 0:15:34.200
<v Speaker 9>into a super pack each month to help Donald Trump

0:15:34.240 --> 0:15:37.120
<v Speaker 9>with his ground game. So obviously it's hugely important and

0:15:37.160 --> 0:15:38.400
<v Speaker 9>it's perfectly legal.

0:15:40.040 --> 0:15:43.920
<v Speaker 2>You know, Mike, I think about Ken Griffin, right, he's

0:15:43.920 --> 0:15:45.680
<v Speaker 2>been in Florida, what now, maybe a couple of years

0:15:45.800 --> 0:15:47.440
<v Speaker 2>or it's been a couple of years since he announced

0:15:47.480 --> 0:15:50.200
<v Speaker 2>moving down there, has become very influential, certainly on the state.

0:15:51.280 --> 0:15:53.800
<v Speaker 2>But I do think about as you guys are laying

0:15:53.800 --> 0:15:57.560
<v Speaker 2>out the causes that are of importance to him. He

0:15:57.640 --> 0:16:01.960
<v Speaker 2>doesn't necessarily buy into the polism, does he that Donald

0:16:02.000 --> 0:16:04.040
<v Speaker 2>Trump seems to espouse along with JD.

0:16:04.160 --> 0:16:04.520
<v Speaker 6>Van's.

0:16:05.640 --> 0:16:07.680
<v Speaker 8>Yeah, I think that's a good way to put it.

0:16:08.200 --> 0:16:12.520
<v Speaker 8>He stresses that, and the people that are close to

0:16:12.600 --> 0:16:17.440
<v Speaker 8>him stressed that what he's looking for is candidates we're conservative, Republican,

0:16:17.760 --> 0:16:20.760
<v Speaker 8>but also candidates that can govern governance. He likes to

0:16:20.840 --> 0:16:23.040
<v Speaker 8>use that word a lot in a lot of things

0:16:23.040 --> 0:16:25.760
<v Speaker 8>that he does in terms of giving and I think he,

0:16:26.080 --> 0:16:28.200
<v Speaker 8>you know, he strives, or he says he strives to

0:16:28.360 --> 0:16:31.640
<v Speaker 8>apply that to the candidates and the politicians that he

0:16:31.680 --> 0:16:34.080
<v Speaker 8>decides to back. And he's quite loyal. You know, he

0:16:34.120 --> 0:16:37.040
<v Speaker 8>will stick with a politician that he believes in or

0:16:37.480 --> 0:16:41.360
<v Speaker 8>feels like is worth backing through wins and through losses.

0:16:43.000 --> 0:16:45.880
<v Speaker 8>And that seems to be a key driver what he does.

0:16:45.960 --> 0:16:51.000
<v Speaker 8>He wants leaders in Congress, especially who will actually get

0:16:51.000 --> 0:16:53.360
<v Speaker 8>things done, who will legislate the kind of things he

0:16:53.400 --> 0:16:58.440
<v Speaker 8>wants Congress to do that he supports, and he shies

0:16:58.480 --> 0:17:04.200
<v Speaker 8>away from backing candidates that are are less effective in governing,

0:17:04.200 --> 0:17:04.520
<v Speaker 8>as he.

0:17:04.560 --> 0:17:05.159
<v Speaker 9>Likes to call it.

0:17:05.560 --> 0:17:08.160
<v Speaker 3>Mike, what do we know about Citadel Public Affairs head

0:17:08.240 --> 0:17:08.879
<v Speaker 3>case and Carter?

0:17:10.680 --> 0:17:14.959
<v Speaker 8>Well, he's, uh, he's he's he's very key to this process. Uh,

0:17:15.160 --> 0:17:18.240
<v Speaker 8>he wouldn't talk to us for this story, but he

0:17:18.800 --> 0:17:22.640
<v Speaker 8>u is plays a pivotal role in helping Ken Griffin

0:17:24.400 --> 0:17:27.479
<v Speaker 8>decide where where to put his money, not just in

0:17:27.960 --> 0:17:32.120
<v Speaker 8>political giving, but also in philanthropy for example. So he's

0:17:32.119 --> 0:17:35.000
<v Speaker 8>a pivotal, uh sort of advisor in.

0:17:34.920 --> 0:17:38.240
<v Speaker 2>That realm Hey, Bill, when you look at the money, uh,

0:17:38.400 --> 0:17:41.159
<v Speaker 2>that's been drummed up in this race so far, I

0:17:41.160 --> 0:17:43.600
<v Speaker 2>think about, you know, Kamala Harris, the money that she's

0:17:43.720 --> 0:17:48.359
<v Speaker 2>raised since she has essentially taken over the mantle from

0:17:48.520 --> 0:17:51.120
<v Speaker 2>from Joe Biden. I think about We just talked about

0:17:51.160 --> 0:17:54.639
<v Speaker 2>Elon Moss. We're talking about Bill Griffin, Pill Griffin, Ken Griffin.

0:17:55.760 --> 0:17:57.800
<v Speaker 2>It's a lot of money. I'm just curious, is this

0:17:57.880 --> 0:18:00.199
<v Speaker 2>turning out to be one of the more expensive of

0:18:01.200 --> 0:18:02.760
<v Speaker 2>campaigns or rases.

0:18:04.840 --> 0:18:06.600
<v Speaker 9>It's like it's going to be. I mean, it's you know,

0:18:07.920 --> 0:18:11.879
<v Speaker 9>every presidential record sort of sets a record. Presidential election

0:18:11.920 --> 0:18:14.600
<v Speaker 9>sets a record because you know, contribution limits go up,

0:18:15.280 --> 0:18:18.359
<v Speaker 9>things get more expensive. Super packs are you know, play

0:18:18.359 --> 0:18:20.760
<v Speaker 9>a bigger role. You know, there was some thought that

0:18:20.800 --> 0:18:23.560
<v Speaker 9>maybe the twenty twenty election because of COVID, whether it

0:18:23.600 --> 0:18:25.439
<v Speaker 9>be less spending. It turned out there was more spending

0:18:25.480 --> 0:18:28.240
<v Speaker 9>than ever. So I think we'll see more spending. And

0:18:28.280 --> 0:18:31.200
<v Speaker 9>it's in part because, you know, as Ken Griffin said

0:18:31.320 --> 0:18:34.160
<v Speaker 9>or told us in the article, it's you know, there's

0:18:34.160 --> 0:18:36.360
<v Speaker 9>a lot at stake in this election. It's an important

0:18:36.359 --> 0:18:39.639
<v Speaker 9>time for the country, and you know kind of you know,

0:18:41.400 --> 0:18:42.680
<v Speaker 9>you know, all the money is coming out.

0:18:43.200 --> 0:18:47.520
<v Speaker 3>Bill just twenty seconds left. Any whispers of campaign finance

0:18:47.560 --> 0:18:50.800
<v Speaker 3>reform around the halls of Washington, DC these days.

0:18:52.440 --> 0:18:54.960
<v Speaker 9>It's you know, there are people who still plug away

0:18:54.960 --> 0:18:57.400
<v Speaker 9>at it. It is not really a priority for Congress

0:18:58.080 --> 0:19:01.160
<v Speaker 9>or this administration. And it hasn't been for years and years.

0:19:01.160 --> 0:19:04.360
<v Speaker 9>I mean, the closest thing we have is some bills

0:19:04.400 --> 0:19:06.639
<v Speaker 9>to disclose dark money, but you know they get stuck

0:19:06.680 --> 0:19:09.280
<v Speaker 9>in the senator of the House and don't really go anywhere.

0:19:09.920 --> 0:19:11.719
<v Speaker 2>All Right, Well, if you weren't depressed enough, we're going

0:19:11.760 --> 0:19:13.760
<v Speaker 2>to have some talk of climate change coming up in

0:19:13.840 --> 0:19:16.800
<v Speaker 2>just a moment to keep the mood going. Bloomberg News

0:19:16.880 --> 0:19:19.600
<v Speaker 2>National Reporter Mike Smith and Bill Allison, Bloomberg News Campaign

0:19:19.640 --> 0:19:22.320
<v Speaker 2>Finance Reporter. This is a Bloomberg exclusive and among our

0:19:22.359 --> 0:19:23.879
<v Speaker 2>most read on the Bloomberg terminal.

0:19:26.280 --> 0:19:30.120
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Listen live

0:19:30.240 --> 0:19:33.440
<v Speaker 1>each weekday starting at two pm Eastern down Applecar Play

0:19:33.440 --> 0:19:36.320
<v Speaker 1>and Android Auto with the Bloomberg Business Ad. You can

0:19:36.359 --> 0:19:39.600
<v Speaker 1>also listen live on Amazon Alexa from our flagship New

0:19:39.640 --> 0:19:43.280
<v Speaker 1>York station, Just say Alexa Play Bloomberg eleven thirty.

0:19:45.080 --> 0:19:47.399
<v Speaker 3>Well, rural students lagged behind the rest of the country

0:19:47.400 --> 0:19:49.800
<v Speaker 3>in college attendance, and one of the world's top bankers

0:19:49.840 --> 0:19:53.080
<v Speaker 3>is spending a lot of money to address that. Byron Trott,

0:19:53.080 --> 0:19:55.120
<v Speaker 3>who grew up in a small Missouri town and became

0:19:55.160 --> 0:19:57.520
<v Speaker 3>one of the world's top Bankers will spend one hundred

0:19:57.520 --> 0:19:59.880
<v Speaker 3>and fifty million dollars over ten years to help more

0:20:00.080 --> 0:20:03.000
<v Speaker 3>the colleges and public universities recruit ural students.

0:20:03.000 --> 0:20:05.119
<v Speaker 2>That's right, Tim. The new donation builds on a twenty

0:20:05.119 --> 0:20:08.119
<v Speaker 2>million dollar initiative his family foundation started last year with

0:20:08.160 --> 0:20:11.000
<v Speaker 2>schools such as Yale, Ohio State, and the University of Chicago,

0:20:11.440 --> 0:20:15.119
<v Speaker 2>his alma mater. Bloomberg News Higher education finance reporter Janet

0:20:15.160 --> 0:20:17.919
<v Speaker 2>Lauren writing about this in recent days, She joins us

0:20:17.920 --> 0:20:21.320
<v Speaker 2>now here in our Bloomberg Interactive Broker studio. Also with

0:20:21.400 --> 0:20:24.440
<v Speaker 2>us is Jim Nondorf. He's Dean of college Admissions at

0:20:24.440 --> 0:20:28.159
<v Speaker 2>the University of Chicago, along with Margie Bettley, who is

0:20:28.280 --> 0:20:31.400
<v Speaker 2>Deputy Director of Admissions at the University of Chicago. They

0:20:31.440 --> 0:20:34.800
<v Speaker 2>both join us from that city, and Jenna, I want

0:20:34.840 --> 0:20:38.399
<v Speaker 2>to start with you because Byron Trott is somebody we

0:20:38.440 --> 0:20:40.480
<v Speaker 2>used to talk about. I feel like a lot well

0:20:40.520 --> 0:20:43.240
<v Speaker 2>known in the financial industry, although maybe not as of late.

0:20:43.280 --> 0:20:45.320
<v Speaker 2>Tell us little bit more about him and what he's

0:20:45.359 --> 0:20:46.320
<v Speaker 2>done well.

0:20:46.359 --> 0:20:49.639
<v Speaker 10>Byron Trott grew up in a very small town in Missouri,

0:20:49.840 --> 0:20:52.920
<v Speaker 10>and it really wasn't the kind of place that got

0:20:53.040 --> 0:20:56.840
<v Speaker 10>visits from admissions officers like Yale or MIT or the

0:20:56.920 --> 0:21:00.800
<v Speaker 10>University of Chicago, and he became extremely successful. He went

0:21:00.840 --> 0:21:03.960
<v Speaker 10>to Chicago for college and earned an MBA there and

0:21:04.040 --> 0:21:06.760
<v Speaker 10>started a very long career with Goldman Sachs, where he

0:21:06.800 --> 0:21:11.040
<v Speaker 10>earned the title of Warren Buffett's favorite banker, and good title.

0:21:11.160 --> 0:21:14.160
<v Speaker 10>He went out, and you know, he's been an investor

0:21:14.520 --> 0:21:19.000
<v Speaker 10>and runs his own merchant bank, paired with Michael Dell's investments,

0:21:19.400 --> 0:21:22.480
<v Speaker 10>and has been become extremely successful. And had a conversation

0:21:22.640 --> 0:21:26.840
<v Speaker 10>with Jim Nondorf asking about rural students of the University

0:21:26.840 --> 0:21:30.560
<v Speaker 10>of Chicago, and that led to an effort to recruit

0:21:30.600 --> 0:21:33.240
<v Speaker 10>more students there, and then it led to a bigger

0:21:33.280 --> 0:21:38.400
<v Speaker 10>effort to recruit students from additional colleges, as we've mentioned,

0:21:38.480 --> 0:21:42.040
<v Speaker 10>sixteen schools, and now he's doubling that and putting one

0:21:42.119 --> 0:21:45.000
<v Speaker 10>hundred and fifty million for recruiting efforts, but also to

0:21:45.080 --> 0:21:49.320
<v Speaker 10>help students in high school sort of understand what college is.

0:21:50.000 --> 0:21:52.840
<v Speaker 10>And you know, it's not just the college just explaining

0:21:52.880 --> 0:21:56.080
<v Speaker 10>them what is college, how to get there, and it's

0:21:56.119 --> 0:21:58.160
<v Speaker 10>a lot of public universities as well.

0:21:58.520 --> 0:22:00.600
<v Speaker 2>All right, Jim, come on in on this. Thank you

0:22:00.640 --> 0:22:03.399
<v Speaker 2>both for being with us. What did that mean? What

0:22:03.400 --> 0:22:04.959
<v Speaker 2>does this money mean for you guys?

0:22:06.480 --> 0:22:09.439
<v Speaker 11>So really, and I do want to correct Margie. In

0:22:09.440 --> 0:22:13.000
<v Speaker 11>addition to being an outstanding admissions officer for U Chicago,

0:22:13.320 --> 0:22:16.119
<v Speaker 11>she is actually the executive director for Stars. So she

0:22:16.240 --> 0:22:18.639
<v Speaker 11>really puts it all together and works with all of

0:22:18.720 --> 0:22:22.760
<v Speaker 11>the other colleges and universities. She's much more important than

0:22:22.760 --> 0:22:25.159
<v Speaker 11>me in many ways. So but I will tell you

0:22:25.200 --> 0:22:28.480
<v Speaker 11>what it means for us is, you know, rural areas,

0:22:28.920 --> 0:22:32.960
<v Speaker 11>small towns, sometimes they're easy to overlook it, they're harder

0:22:32.960 --> 0:22:36.439
<v Speaker 11>to get to, they're harder to engage, and quite often

0:22:37.000 --> 0:22:39.200
<v Speaker 11>it will be you know, there won't be anybody who's

0:22:39.200 --> 0:22:42.320
<v Speaker 11>ever gone to U Chicago or Yale or or wherever,

0:22:43.080 --> 0:22:45.960
<v Speaker 11>and so they don't have easy access to role models

0:22:45.960 --> 0:22:48.080
<v Speaker 11>that are going to inspire them and say hey, I

0:22:48.200 --> 0:22:51.639
<v Speaker 11>welcome there. And so what what these funds do is

0:22:51.720 --> 0:22:54.720
<v Speaker 11>they enable all of us to both have someone on

0:22:54.800 --> 0:22:57.760
<v Speaker 11>our teams. In our case, I have a a TRUP

0:22:58.160 --> 0:23:03.800
<v Speaker 11>rural director who focuses on engaging our other admissions officers

0:23:03.840 --> 0:23:07.440
<v Speaker 11>to make sure we cover small town and rural school

0:23:07.560 --> 0:23:11.360
<v Speaker 11>high schools, but also that you know that we can

0:23:11.440 --> 0:23:14.240
<v Speaker 11>do programming bring them to our campus at U Chicago.

0:23:14.920 --> 0:23:18.520
<v Speaker 11>Prior to launching Stars, Iron had supported a program called

0:23:18.560 --> 0:23:22.440
<v Speaker 11>Emerging Rural Leaders, which Margie ran, and it brought students

0:23:22.480 --> 0:23:26.399
<v Speaker 11>from all around the country. And what is wonderful as

0:23:26.480 --> 0:23:29.399
<v Speaker 11>those students then go back and they are a proof

0:23:29.440 --> 0:23:32.080
<v Speaker 11>points to all the other students in their high schools

0:23:32.160 --> 0:23:34.200
<v Speaker 11>right that they're welcome in ours.

0:23:35.320 --> 0:23:37.679
<v Speaker 10>So tell us a little bit about the efforts. You know,

0:23:37.760 --> 0:23:39.639
<v Speaker 10>how we know how difficult it is to get to

0:23:39.760 --> 0:23:42.560
<v Speaker 10>rural towns just as one person, but going with a

0:23:42.600 --> 0:23:46.040
<v Speaker 10>group and sort of doing an admissions tour of Tennessee.

0:23:46.080 --> 0:23:48.520
<v Speaker 10>We wrote about that last here. What does it mean

0:23:48.640 --> 0:23:52.399
<v Speaker 10>to have, you know, so many schools reaching out to

0:23:52.600 --> 0:23:55.199
<v Speaker 10>so many different towns, And tell us a little bit

0:23:55.240 --> 0:23:57.240
<v Speaker 10>about the efforts class fall, Margie, come on.

0:23:57.200 --> 0:23:57.640
<v Speaker 5>In on that.

0:23:59.040 --> 0:24:01.320
<v Speaker 11>Yeah, so I'll give you a framework and then maybe

0:24:01.480 --> 0:24:05.399
<v Speaker 11>Margie'll take the details. But the framework is really sometimes

0:24:05.480 --> 0:24:08.840
<v Speaker 11>it's wonderful to have multiple schools so that students get

0:24:08.880 --> 0:24:12.920
<v Speaker 11>a sense of the breadth and depth of higher education

0:24:13.160 --> 0:24:16.120
<v Speaker 11>and that there are schools who have four percented mid

0:24:16.200 --> 0:24:18.600
<v Speaker 11>rates and eighty percent A mid rates and there's a

0:24:18.640 --> 0:24:21.800
<v Speaker 11>lot of amazing places to go. It also allows us

0:24:21.800 --> 0:24:24.920
<v Speaker 11>to kind of divide and conquer where maybe we can't.

0:24:25.160 --> 0:24:29.480
<v Speaker 11>As you, Chicago, go see every more schools. If we

0:24:29.560 --> 0:24:32.600
<v Speaker 11>divide them up amongst thirty two schools, we can see

0:24:32.640 --> 0:24:36.600
<v Speaker 11>thirty two times more schools and represents all thirty two

0:24:36.640 --> 0:24:41.320
<v Speaker 11>schools just by one one admissions officer visiting that school.

0:24:41.359 --> 0:24:47.720
<v Speaker 11>So it really it's about leverage and expanding the impact

0:24:47.880 --> 0:24:51.119
<v Speaker 11>that we can make individually when we do it all together.

0:24:51.160 --> 0:24:53.480
<v Speaker 11>But Margie has gone on these, she's led them, she's

0:24:53.480 --> 0:24:55.879
<v Speaker 11>put them together. I'll leave it to Margie to tell

0:24:55.920 --> 0:24:56.560
<v Speaker 11>you a little more.

0:24:57.760 --> 0:25:00.800
<v Speaker 12>Yeah, I think Jim is exactly correct. We can do

0:25:01.000 --> 0:25:03.960
<v Speaker 12>exponentially more as a network than we could do as

0:25:04.080 --> 0:25:08.960
<v Speaker 12>one highly selective institution. The need is huge, and as

0:25:09.040 --> 0:25:11.160
<v Speaker 12>one school we can only impact a very small number

0:25:11.200 --> 0:25:14.600
<v Speaker 12>of students, whereas as a network of schools we can

0:25:14.680 --> 0:25:18.760
<v Speaker 12>impact thousands of students. It's a massive difference. So I

0:25:18.760 --> 0:25:21.040
<v Speaker 12>would day any given year the University Chicago, even though

0:25:21.040 --> 0:25:23.560
<v Speaker 12>we had Rural as an initiative, we were only visiting

0:25:23.560 --> 0:25:27.000
<v Speaker 12>maybe a couple dozen rural high schools during our recruitment time,

0:25:27.240 --> 0:25:29.920
<v Speaker 12>whereas this past year as a network for Stars, we

0:25:30.080 --> 0:25:34.280
<v Speaker 12>visited over eleven hundred high schools. Another example that I

0:25:34.320 --> 0:25:37.960
<v Speaker 12>have is that with these trips where we go to students,

0:25:38.440 --> 0:25:40.720
<v Speaker 12>many times it is their first opportunity to meet with

0:25:40.840 --> 0:25:43.720
<v Speaker 12>multiple admissions counselors. I have a group of students that

0:25:43.760 --> 0:25:46.119
<v Speaker 12>I work with over this summer through Emerging World Leaders.

0:25:46.320 --> 0:25:49.280
<v Speaker 12>Out of that group of sixty students, almost every time

0:25:49.320 --> 0:25:51.560
<v Speaker 12>when I ask how many of you have had more

0:25:51.600 --> 0:25:54.960
<v Speaker 12>than five colleges and universities visit your high school, only

0:25:55.040 --> 0:25:58.760
<v Speaker 12>two hands went up this year. In one swing with

0:25:58.880 --> 0:26:02.720
<v Speaker 12>a group, we can more admissions counselors, more different kinds

0:26:02.760 --> 0:26:06.000
<v Speaker 12>of schools, more information, and more options to these students

0:26:06.400 --> 0:26:09.000
<v Speaker 12>in one fell swoop than they're ever going to see

0:26:09.000 --> 0:26:10.000
<v Speaker 12>in an entire year.

0:26:10.119 --> 0:26:11.040
<v Speaker 5>So it is.

0:26:11.080 --> 0:26:13.639
<v Speaker 12>Exponential what we can do as a group that we

0:26:13.680 --> 0:26:15.040
<v Speaker 12>couldn't do alone.

0:26:15.200 --> 0:26:19.080
<v Speaker 10>So both of you came from small towns to study

0:26:19.080 --> 0:26:22.120
<v Speaker 10>at the University of Chicago. So once you've recruited students

0:26:22.160 --> 0:26:25.720
<v Speaker 10>and told them about college, it's another thing to sell

0:26:25.760 --> 0:26:27.679
<v Speaker 10>them to be able to go to a place like

0:26:27.760 --> 0:26:31.320
<v Speaker 10>the University of Chicago or MIT, or even you know,

0:26:31.359 --> 0:26:35.440
<v Speaker 10>a large state flagship. Can you tell them, explain what

0:26:35.480 --> 0:26:39.119
<v Speaker 10>you're telling them about coming to college and in the

0:26:39.160 --> 0:26:43.359
<v Speaker 10>big difference coming going to a local community college versus

0:26:43.400 --> 0:26:46.040
<v Speaker 10>a four year college that can give them opportunities and

0:26:46.080 --> 0:26:51.040
<v Speaker 10>really also help their family. Margie, why don't you start perfect?

0:26:51.960 --> 0:26:55.399
<v Speaker 12>Yeah, Having gone through that kind of experience of never

0:26:55.480 --> 0:27:00.159
<v Speaker 12>having taken public transportation before in my life, never are

0:27:00.240 --> 0:27:04.000
<v Speaker 12>really needing to navigate something as large as the city

0:27:04.000 --> 0:27:07.040
<v Speaker 12>of Chicago. Coming from a smaller town in Georgia, it

0:27:07.119 --> 0:27:09.840
<v Speaker 12>was a huge transition, and there are lots of transitions

0:27:09.840 --> 0:27:11.679
<v Speaker 12>that students are going to go through. It's going to

0:27:11.680 --> 0:27:16.040
<v Speaker 12>be academic, social, So we want to meet them at

0:27:16.119 --> 0:27:18.680
<v Speaker 12>every stage, and we want to meet them where they are.

0:27:19.000 --> 0:27:22.119
<v Speaker 12>I think support systems are something every single member school

0:27:22.160 --> 0:27:24.520
<v Speaker 12>has focused a lot of time on this past year.

0:27:24.920 --> 0:27:27.359
<v Speaker 12>Jim mentioned at the very beginning that part of these

0:27:27.400 --> 0:27:31.480
<v Speaker 12>funds go towards finding a point person on each team

0:27:31.640 --> 0:27:34.720
<v Speaker 12>in each of these universities. That person is a face

0:27:35.040 --> 0:27:38.000
<v Speaker 12>for students to ask questions. We are there for them

0:27:38.040 --> 0:27:41.560
<v Speaker 12>not only admissions process, but we build those relationships all

0:27:41.600 --> 0:27:43.760
<v Speaker 12>the way through to when they're students on our campuses.

0:27:44.119 --> 0:27:47.840
<v Speaker 12>For example, I host quarterly socials for our rural and

0:27:47.880 --> 0:27:51.320
<v Speaker 12>small town students on campus. I'm available for one on ones,

0:27:51.640 --> 0:27:54.439
<v Speaker 12>I act a little bit as a social advisor to

0:27:54.480 --> 0:27:56.639
<v Speaker 12>help them make some of those transitions. So we are

0:27:56.760 --> 0:28:02.000
<v Speaker 12>thinking about academic social care. We are financial all those

0:28:02.040 --> 0:28:05.720
<v Speaker 12>different really important support systems. One other thing that I'll

0:28:05.720 --> 0:28:07.520
<v Speaker 12>point to the University Chicago of being a really good

0:28:07.520 --> 0:28:10.920
<v Speaker 12>example of this is that financial support. So we offer

0:28:11.280 --> 0:28:15.200
<v Speaker 12>amazing financial support in general for all of our students.

0:28:15.400 --> 0:28:19.200
<v Speaker 12>But when we started these efforts and working with rural students,

0:28:19.240 --> 0:28:22.680
<v Speaker 12>we really pinpointed one important thing, which were family farms.

0:28:23.040 --> 0:28:25.480
<v Speaker 12>That was a big barrier for students because we were

0:28:25.560 --> 0:28:29.760
<v Speaker 12>counting them as assets in their financial aid applications. Well,

0:28:30.400 --> 0:28:32.199
<v Speaker 12>not fair to ask a students to go sell their

0:28:32.240 --> 0:28:35.160
<v Speaker 12>home family farm in order to attend college. So we

0:28:35.200 --> 0:28:38.080
<v Speaker 12>took that out. We changed our financial aid policies to

0:28:38.160 --> 0:28:41.720
<v Speaker 12>be more welcoming and to be more accessible for rural

0:28:41.720 --> 0:28:42.720
<v Speaker 12>and small fown students.

0:28:42.800 --> 0:28:48.240
<v Speaker 2>Hey just got about forty seconds here. I am curious, Jim,

0:28:48.640 --> 0:28:52.280
<v Speaker 2>were you guys not recruiting from rural areas beforehand? And

0:28:52.320 --> 0:28:54.120
<v Speaker 2>again just got about thirty forty seconds.

0:28:54.800 --> 0:28:58.080
<v Speaker 11>Sure, So, to be very honest, wasn't something we tracked

0:28:58.200 --> 0:28:59.920
<v Speaker 11>so that that we didn't do it? I'm sure we

0:29:00.160 --> 0:29:04.720
<v Speaker 11>visited some schools. But when Byron first approached me about this,

0:29:05.160 --> 0:29:08.120
<v Speaker 11>he asked how many ural students we had in a class,

0:29:08.320 --> 0:29:10.280
<v Speaker 11>and I didn't even know the answer, and it was

0:29:10.280 --> 0:29:12.719
<v Speaker 11>a small number. It was about thirteen. And now there

0:29:12.720 --> 0:29:15.720
<v Speaker 11>are ten percent of our class. And you actually have

0:29:15.800 --> 0:29:18.239
<v Speaker 11>to identify and make it a priority. And that's what

0:29:18.320 --> 0:29:20.640
<v Speaker 11>Stars does for all of our schools, and that's what

0:29:20.760 --> 0:29:25.040
<v Speaker 11>Byron support has. Really it's radically changed the composition of

0:29:25.080 --> 0:29:26.200
<v Speaker 11>our incombing class well.

0:29:26.240 --> 0:29:28.400
<v Speaker 2>And it certainly fits with this idea, right that we say,

0:29:28.560 --> 0:29:30.760
<v Speaker 2>you know, there needs to be diversity of all kinds

0:29:30.760 --> 0:29:33.760
<v Speaker 2>when it comes to academia, right, that's part of the experience.

0:29:34.720 --> 0:29:37.760
<v Speaker 2>So really interesting stuff. Listen, Thank you both so appreciated.

0:29:37.880 --> 0:29:41.000
<v Speaker 2>Our thanks to Jim Nondorf. He's Deena College Admissions at

0:29:41.000 --> 0:29:44.400
<v Speaker 2>the University of Chicago and Margie Bettley, Deputy Director of

0:29:44.440 --> 0:29:47.200
<v Speaker 2>Admissions at the University of Chicago. But really instrumental she

0:29:47.320 --> 0:29:49.520
<v Speaker 2>is in terms of this program. And of course Jennet

0:29:49.560 --> 0:29:51.400
<v Speaker 2>Lauren for bringing this story to our attention. She's our

0:29:51.400 --> 0:29:54.560
<v Speaker 2>Bloomberg News higher Education Finance Repur. So much going on

0:29:55.240 --> 0:29:57.040
<v Speaker 2>when it comes to higher education.

0:29:58.760 --> 0:29:59.160
<v Speaker 5>Mu.

0:30:01.280 --> 0:30:02.000
<v Speaker 1>The journal.

0:30:03.000 --> 0:30:04.920
<v Speaker 2>How about you let me drive Oh no.

0:30:04.720 --> 0:30:06.240
<v Speaker 4>No, no, no, who's going to drive?

0:30:07.320 --> 0:30:07.680
<v Speaker 5>Honey?

0:30:07.840 --> 0:30:09.560
<v Speaker 7>Please, I'll do the gravel.

0:30:10.160 --> 0:30:14.680
<v Speaker 4>Let's wat I want to try it. It's a good question.

0:30:18.480 --> 0:30:22.000
<v Speaker 1>This is the drive to the clothes, Tim think we'll

0:30:22.040 --> 0:30:24.880
<v Speaker 1>buy around? Should it on on Blueberg Radio?

0:30:25.120 --> 0:30:27.720
<v Speaker 2>Oh? If people just knew how you sang to the themes,

0:30:27.840 --> 0:30:28.400
<v Speaker 2>you can't do it.

0:30:28.600 --> 0:30:30.560
<v Speaker 6>We don't have the rights to the music, so I

0:30:30.640 --> 0:30:33.680
<v Speaker 6>can't sing it. Maybe we can. You do it well

0:30:33.760 --> 0:30:34.360
<v Speaker 6>than you can't.

0:30:34.360 --> 0:30:36.120
<v Speaker 2>You do like it for three seconds or something.

0:30:36.320 --> 0:30:36.960
<v Speaker 1>I'm not allowed to.

0:30:37.320 --> 0:30:38.240
<v Speaker 6>I don't know something like that.

0:30:38.920 --> 0:30:40.400
<v Speaker 2>What we are allowed to do, though, is talk about

0:30:40.400 --> 0:30:43.720
<v Speaker 2>the markets bouncing around here. We're off our highs and

0:30:43.920 --> 0:30:45.960
<v Speaker 2>lows of the session, down on the S and P

0:30:46.160 --> 0:30:48.040
<v Speaker 2>and the Nasdaq one hund you just heard Charlie breaking

0:30:48.080 --> 0:30:50.920
<v Speaker 2>it down. We are up on the Dow Jones industrial averages.

0:30:50.920 --> 0:30:53.280
<v Speaker 2>We get ready for a big drop of earnings after

0:30:53.360 --> 0:30:56.240
<v Speaker 2>the closing bell. So curious to see what Walker Williams

0:30:56.280 --> 0:30:58.360
<v Speaker 2>has to say about it all. He's chief market strategist

0:30:58.440 --> 0:31:01.760
<v Speaker 2>of private wealth at the wealth advisory firm Lido Advisors.

0:31:01.800 --> 0:31:04.240
<v Speaker 2>They have twenty billion in assets under management and enjoins

0:31:04.320 --> 0:31:05.720
<v Speaker 2>us from Vail, Colorado.

0:31:05.840 --> 0:31:06.240
<v Speaker 6>How are you.

0:31:07.480 --> 0:31:10.280
<v Speaker 7>I'm doing well. How about you guys this afternoon doing okay?

0:31:10.400 --> 0:31:11.680
<v Speaker 2>Doing okay? How are you doing?

0:31:11.720 --> 0:31:13.560
<v Speaker 6>Tim good? I kind of wish I was in Veil.

0:31:14.000 --> 0:31:16.840
<v Speaker 6>I was going to say that, you know, it's the

0:31:16.880 --> 0:31:17.360
<v Speaker 6>worst place.

0:31:17.360 --> 0:31:17.720
<v Speaker 1>It's them.

0:31:18.480 --> 0:31:19.960
<v Speaker 6>It's okay, do some mountain biking.

0:31:20.320 --> 0:31:23.920
<v Speaker 2>Are people worried about, you know, politics and climate change

0:31:24.000 --> 0:31:28.680
<v Speaker 2>and geopolitics and growing US debt in Veil.

0:31:30.440 --> 0:31:32.800
<v Speaker 7>More so than you think? I think, you know, when

0:31:32.840 --> 0:31:36.520
<v Speaker 7>we're looking at the worries in Veil or New York

0:31:36.680 --> 0:31:41.320
<v Speaker 7>or wherever they're they're kind of very much similar politics.

0:31:41.320 --> 0:31:43.560
<v Speaker 7>I'd always put at the top of the list. We

0:31:43.640 --> 0:31:48.280
<v Speaker 7>can change the players, but we frankly get questions about

0:31:48.400 --> 0:31:52.240
<v Speaker 7>what does this implification mean for growth, especially for taxes,

0:31:52.320 --> 0:31:56.400
<v Speaker 7>for structuring, for things of that nature. You know, talking

0:31:56.440 --> 0:32:01.400
<v Speaker 7>about climate change. I think that's uniquely interesting topic because

0:32:02.160 --> 0:32:04.960
<v Speaker 7>when we discuss climate change, it's not just you know

0:32:05.320 --> 0:32:08.680
<v Speaker 7>the idea of hey, what's going on with storms? You know,

0:32:08.760 --> 0:32:10.120
<v Speaker 7>we've done a lot of work on what does that

0:32:10.200 --> 0:32:13.280
<v Speaker 7>mean for property and casualty insurance companies? You know, you

0:32:13.400 --> 0:32:15.280
<v Speaker 7>see this right now. There's been actually a couple of

0:32:15.320 --> 0:32:19.760
<v Speaker 7>deals that we've seen where insurability has been a you know,

0:32:20.000 --> 0:32:24.080
<v Speaker 7>an issue that couldn't get past the finish line, especially

0:32:24.160 --> 0:32:27.040
<v Speaker 7>if you're buying properties or investing in properties in certain

0:32:27.040 --> 0:32:30.640
<v Speaker 7>parts of this country. You know LEDO, we're headquartered out

0:32:30.680 --> 0:32:34.360
<v Speaker 7>of California. You know the risk of wildfires and what

0:32:34.480 --> 0:32:37.520
<v Speaker 7>that means from transactions or simply like, hey, can I

0:32:37.600 --> 0:32:41.480
<v Speaker 7>get home owner's insurance in separate areas of the state

0:32:41.600 --> 0:32:44.520
<v Speaker 7>is something you really have to dig into and consider.

0:32:44.920 --> 0:32:48.160
<v Speaker 3>So, Walker, just to help us understand your role at LEEDO,

0:32:48.520 --> 0:32:52.440
<v Speaker 3>are you focused on the Colorado area? Geographically focused on

0:32:52.560 --> 0:32:55.800
<v Speaker 3>the greater Denver area Edwards Veil.

0:32:57.120 --> 0:32:58.920
<v Speaker 6>Sort of that that area?

0:33:00.800 --> 0:33:02.720
<v Speaker 7>No, so like my role as a national role is

0:33:02.760 --> 0:33:05.280
<v Speaker 7>the chief market strategist for the firm. I do live

0:33:05.960 --> 0:33:08.840
<v Speaker 7>in as you mentioned Vail, Colorado, So from that's.

0:33:08.680 --> 0:33:12.280
<v Speaker 6>A good at place to be chief market strategy you travel.

0:33:12.400 --> 0:33:16.760
<v Speaker 7>Yeah, ok, yes, so I am based here, but my

0:33:16.920 --> 0:33:19.280
<v Speaker 7>role is really a national role where I spend most

0:33:19.320 --> 0:33:21.600
<v Speaker 7>of my time thinking about strategies and trends that are

0:33:21.600 --> 0:33:23.360
<v Speaker 7>affecting the markets in various aspects.

0:33:23.440 --> 0:33:25.680
<v Speaker 3>Fortunately, the Eagle Airport is not too far away and

0:33:25.760 --> 0:33:27.760
<v Speaker 3>you can you can do that, all right, So let's

0:33:27.760 --> 0:33:29.360
<v Speaker 3>talk a little bit about what you're seeing when it

0:33:29.440 --> 0:33:32.719
<v Speaker 3>comes to the markets. Because one thing that we've been

0:33:32.720 --> 0:33:35.480
<v Speaker 3>talking a lot about today and also in recent weeks

0:33:35.600 --> 0:33:38.600
<v Speaker 3>is this idea of a rotation out of large caps,

0:33:38.720 --> 0:33:42.560
<v Speaker 3>especially today with the tech megacaps under pressure. But give

0:33:42.640 --> 0:33:45.800
<v Speaker 3>us an idea of sort of what you're seeing down

0:33:45.840 --> 0:33:48.360
<v Speaker 3>the road as we do get further into the second

0:33:48.360 --> 0:33:48.880
<v Speaker 3>half of the year.

0:33:50.080 --> 0:33:52.840
<v Speaker 7>Yes, so obviously like we are seeing the beginning parts

0:33:52.840 --> 0:33:56.320
<v Speaker 7>of a rotation that are happening in the market. If

0:33:56.400 --> 0:33:59.520
<v Speaker 7>you look at the market today, even going into this summer,

0:33:59.640 --> 0:34:03.280
<v Speaker 7>I think there was reasons for pausing, especially with you know,

0:34:03.360 --> 0:34:08.680
<v Speaker 7>the megacap tech stocks driving disproportional aspects of return. We

0:34:08.800 --> 0:34:11.520
<v Speaker 7>do think there are values that are going on right

0:34:11.520 --> 0:34:14.600
<v Speaker 7>now in a rotational aspect. Back into the small cap space,

0:34:15.360 --> 0:34:18.279
<v Speaker 7>we are seeing the gap between you know, the cap

0:34:18.320 --> 0:34:21.320
<v Speaker 7>witted index and the equal cap index come back together,

0:34:21.880 --> 0:34:25.399
<v Speaker 7>which is refreshing to say the least. I do think

0:34:25.400 --> 0:34:28.200
<v Speaker 7>a lot of this is dependent though on you know,

0:34:28.400 --> 0:34:30.520
<v Speaker 7>this is a big week, not sitting in the overstating

0:34:30.560 --> 0:34:33.680
<v Speaker 7>the obvious with central bank actions and what goes on.

0:34:34.680 --> 0:34:36.640
<v Speaker 7>I do think if we do, if the FED does

0:34:36.760 --> 0:34:38.520
<v Speaker 7>change some of the verbiage and we get more to

0:34:38.600 --> 0:34:40.960
<v Speaker 7>certainty around a rate cut, more than we have now.

0:34:41.520 --> 0:34:43.719
<v Speaker 7>You are going to see the propensity for small and

0:34:43.800 --> 0:34:47.920
<v Speaker 7>mid caps to really appreciate here based on their corporate earnings.

0:34:48.440 --> 0:34:51.040
<v Speaker 7>You know, we do think there's value, especially in different

0:34:51.040 --> 0:34:54.320
<v Speaker 7>sectors that are so tech dominated. You know, in the

0:34:54.400 --> 0:34:57.319
<v Speaker 7>healthcare space, there's green shoots. We are seeing different sort

0:34:57.360 --> 0:35:00.600
<v Speaker 7>of green shoots in various industrial companies that are being

0:35:00.760 --> 0:35:04.799
<v Speaker 7>very attractive. Right now, it's been We're still looking at

0:35:04.840 --> 0:35:07.239
<v Speaker 7>a market. I'm curious that. You know, from the standpoint

0:35:07.280 --> 0:35:09.920
<v Speaker 7>of things do look very expensive on a high level.

0:35:11.080 --> 0:35:13.760
<v Speaker 7>So any sort of rotation into different sort of value,

0:35:14.840 --> 0:35:16.920
<v Speaker 7>you know, I think is a good place to be.

0:35:17.520 --> 0:35:21.000
<v Speaker 7>We are seeing our clients also reposition their portfolios in

0:35:21.120 --> 0:35:24.319
<v Speaker 7>to potentially benefit from that rotation down Well, that's what I.

0:35:24.320 --> 0:35:26.640
<v Speaker 2>Was going to I was curious. I mean, when we talk,

0:35:27.000 --> 0:35:30.200
<v Speaker 2>especially with individuals who are dealing with wealth management clients,

0:35:30.239 --> 0:35:32.000
<v Speaker 2>I mean, it's long term, long term, long term. I

0:35:32.160 --> 0:35:36.759
<v Speaker 2>get that, but I am curious, you know, is it

0:35:36.880 --> 0:35:39.759
<v Speaker 2>plain vanilla equity, fixed income or is it a lot

0:35:39.840 --> 0:35:42.960
<v Speaker 2>more alternative assets. I am curious when it comes to

0:35:43.040 --> 0:35:46.239
<v Speaker 2>your clients where you are investing a lot of their

0:35:46.520 --> 0:35:47.000
<v Speaker 2>their money.

0:35:48.040 --> 0:35:50.440
<v Speaker 7>Yeah, so when we define alternatives, it's just for the

0:35:50.480 --> 0:35:52.520
<v Speaker 7>sake of suplicity, say anything that's not a stock in

0:35:52.560 --> 0:35:57.719
<v Speaker 7>a bond. Our clientele has been alternative heavy for a

0:35:57.800 --> 0:36:03.480
<v Speaker 7>long time, and alternatives program is typically structured in a

0:36:03.560 --> 0:36:07.120
<v Speaker 7>couple different facets. We have a lot of real estate,

0:36:07.239 --> 0:36:11.880
<v Speaker 7>both debt and equity positions, which you know at this

0:36:12.040 --> 0:36:14.440
<v Speaker 7>point it's not a blanket real estate buy. We think

0:36:14.480 --> 0:36:18.759
<v Speaker 7>there's selects sectors and opportunities we like in real estate.

0:36:18.880 --> 0:36:22.360
<v Speaker 7>You know, the student housing sector is especially interesting to

0:36:22.480 --> 0:36:26.239
<v Speaker 7>us in the Sun Belt and what we call secondary universities.

0:36:26.880 --> 0:36:30.600
<v Speaker 7>We are seeing opportunities, you know, in the debt space,

0:36:30.680 --> 0:36:32.759
<v Speaker 7>here is a lot of companies and our clients are

0:36:32.800 --> 0:36:37.279
<v Speaker 7>participating this have to refinance their real estate debt or

0:36:37.360 --> 0:36:40.040
<v Speaker 7>their corporate debt. We've been long on private credit for

0:36:40.080 --> 0:36:43.160
<v Speaker 7>a long time. In the different subsectors of that, a

0:36:43.320 --> 0:36:48.880
<v Speaker 7>large portion of our client's allocation is in what we

0:36:49.000 --> 0:36:52.360
<v Speaker 7>call defined outcome strategies. They are similar to structured notes

0:36:52.440 --> 0:36:55.160
<v Speaker 7>that banks have issued for a long time. We like

0:36:55.239 --> 0:36:57.520
<v Speaker 7>the ideas of them, we don't like the fees. We

0:36:57.640 --> 0:36:59.920
<v Speaker 7>have a platform where we can use the liquid options

0:37:00.120 --> 0:37:05.080
<v Speaker 7>market to put protection on liquid indices, individual names that

0:37:05.120 --> 0:37:08.239
<v Speaker 7>are daily liquid. So from an alternative standpoint, and it's

0:37:08.320 --> 0:37:10.680
<v Speaker 7>relevant to your point, the rotation that we see today,

0:37:11.360 --> 0:37:14.600
<v Speaker 7>it is very advantageous for us to build these structures

0:37:14.640 --> 0:37:18.960
<v Speaker 7>with downside protection very efficiently for our for our clients,

0:37:19.560 --> 0:37:22.040
<v Speaker 7>which to your point is everyone says long term, long term,

0:37:22.120 --> 0:37:24.520
<v Speaker 7>long term, you know, but there is the short term

0:37:24.560 --> 0:37:29.040
<v Speaker 7>that does matter. I am guilty of this, and it's

0:37:29.120 --> 0:37:34.160
<v Speaker 7>not bad advice with it. We've all seen market distress periods.

0:37:34.760 --> 0:37:36.920
<v Speaker 7>We're in the wealth management space. A client has been

0:37:36.960 --> 0:37:40.080
<v Speaker 7>working with their advisor and they've said the words, hey,

0:37:40.200 --> 0:37:43.200
<v Speaker 7>stay the course, it's the right course of action. That's

0:37:43.280 --> 0:37:48.640
<v Speaker 7>not bad advice. However, when everyone says that there's typically

0:37:48.880 --> 0:37:52.560
<v Speaker 7>opportunities right around you that you should be picking up.

0:37:53.400 --> 0:37:57.520
<v Speaker 7>So we use those defined outcome platforms and structures to

0:37:57.560 --> 0:37:59.880
<v Speaker 7>give our clients the luxury of options to be in

0:38:00.120 --> 0:38:03.719
<v Speaker 7>right mindset to pick up those opportunities when those dislocations

0:38:03.760 --> 0:38:04.120
<v Speaker 7>do occur.

0:38:04.200 --> 0:38:06.480
<v Speaker 2>Yeah, that's a good point, right. There's certain things that happen,

0:38:06.600 --> 0:38:12.120
<v Speaker 2>certainly pockets within a longer term cycle that can be opportunistic, Walker,

0:38:12.200 --> 0:38:14.640
<v Speaker 2>Thank you so much, Walker Williams. Cheap market strategist at

0:38:14.680 --> 0:38:17.640
<v Speaker 2>Leado Advisors twenty billion in assets under manager. As we said,

0:38:17.640 --> 0:38:21.200
<v Speaker 2>they are a wealth advisory firm. So yeah, but I

0:38:21.280 --> 0:38:22.520
<v Speaker 2>know you're just like, can I go to VAM?

0:38:22.719 --> 0:38:22.919
<v Speaker 1>Yeah?

0:38:23.120 --> 0:38:25.880
<v Speaker 6>That sounds good. I'll be a market strategists there.

0:38:26.000 --> 0:38:26.759
<v Speaker 8>I bet you would.

0:38:27.640 --> 0:38:28.400
<v Speaker 7>This is Bloomberg.

0:38:30.320 --> 0:38:34.920
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0:38:35.120 --> 0:38:38.279
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