WEBVTT - Rate Cut Calls and Election Latest

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is the Bloomberg Surveillance Podcast. I'm Tom Keene along

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<v Speaker 2>with Paul Sweeney. Join us each day for insight from

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<v Speaker 2>the Bloomberg Terminal, and the Bloomberg Business app. Just about

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<v Speaker 2>in town. Keen with you and you get started. Tourist

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<v Speaker 2>and Slock joins us for the Street. The ex Dedeutsche

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<v Speaker 2>banker puts out a note nine ish a clock every

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<v Speaker 2>morning maybe eightish, which is a single paragraph two paragraphs

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<v Speaker 2>in one chart is read by Global Wall Street. Turstan,

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<v Speaker 2>thanks for joining us for the entire How far will

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<v Speaker 2>do some hurricane stuff here in the middle here this

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<v Speaker 2>is so serious for Tampa and the golf, Turstan. What's

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<v Speaker 2>your chart this morning? What's the number one thing that's

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<v Speaker 2>on your mind?

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<v Speaker 3>It?

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<v Speaker 1>Apollo so well, the job this morning is showing that

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<v Speaker 1>twenty six percent of our consumption in Virginia goes to

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<v Speaker 1>data centers. So the need ford investment in renewable energy

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<v Speaker 1>need find investment in data centers. The need for long

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<v Speaker 1>term caucil to invest in long term projects is including

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<v Speaker 1>in boosting here the AI revolution.

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<v Speaker 2>Why can't Google by their own utility?

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<v Speaker 1>Well, some of the tech companies are actually building their

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<v Speaker 1>own power plans and building their own power sources. But

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<v Speaker 1>the bigger issue, of course continues to be that, as

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<v Speaker 1>we all know, one search on CHATGBT takes ten times

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<v Speaker 1>as much energy as one search on Google. So therefore,

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<v Speaker 1>with everything that's going on everywhere in AI, last language models,

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<v Speaker 1>things getting more complicated, processing powers needed. There is certainly

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<v Speaker 1>a very substantial need to power the AI revolution, and

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<v Speaker 1>that does require long term capital to finances.

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<v Speaker 2>And Turst and Sluck Andjument on the same page. He's

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<v Speaker 2>writing about this this morning for Bloomberg. Just let's complete

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<v Speaker 2>your story. Questions for Twisted Sluck.

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<v Speaker 4>Well, you were talking about how the risk to cutting

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<v Speaker 4>interest rate too much too quickly is, especially on the

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<v Speaker 4>back of the latest jobs report, could become and especially

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<v Speaker 4>looking at inflation might be too hot again. Expand more

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<v Speaker 4>on that because we're gonna get an update on CPI

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<v Speaker 4>later this week.

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<v Speaker 5>Yeah, this is very important.

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<v Speaker 1>So the key question really is why is the economy

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<v Speaker 1>still so strong. Your textbook would have told you that

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<v Speaker 1>when the FITS started raising interest rates in much of

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<v Speaker 1>twenty twenty two, the economy should have begun to slow

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<v Speaker 1>down because when interest rates go up, people should be

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<v Speaker 1>buying fuel costs.

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<v Speaker 5>That's not what we have seen.

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<v Speaker 1>When insist rates go up, you should have seen the

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<v Speaker 1>housing markets low down. That's not what we've seen. So

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<v Speaker 1>there's a number of tailwinds to the economic outlook from AI,

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<v Speaker 1>from defense spending, from fiscal policy, the Chips Act, the

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<v Speaker 1>Face and Production Act. All those things combined have kept

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<v Speaker 1>the economy afloat, including also that consumers were less sensitive

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<v Speaker 1>to interest rates because they had locked in mortgage rates

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<v Speaker 1>at very low levels. Ninety five percent of mortgages are

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<v Speaker 1>fixed rates. So because of these very special forces, we've

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<v Speaker 1>just not had that slow down that the FED has

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<v Speaker 1>been looking for, and we think these forces will continue.

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<v Speaker 1>So therefore the answer to your question is we still

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<v Speaker 1>think that the economy is doing fine.

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<v Speaker 5>There is no need for the FED to lower interest rates.

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<v Speaker 4>And you made a bold call earlier this spring that

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<v Speaker 4>the Fed wouldn't cut interest rates this year. What changed?

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<v Speaker 1>So we actually still think that that was and is

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<v Speaker 1>the right call, because now we're debating was it a

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<v Speaker 1>mistake for the Fed to cut rates fifty basis points?

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<v Speaker 1>We just saw non fine payrolls on Friday. It again

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<v Speaker 1>shows that there is no need to lower interest rates.

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<v Speaker 1>So this raises the question why did the FIT lower

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<v Speaker 1>interest rates?

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<v Speaker 5>And this Tom and I have been talking about this for.

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<v Speaker 1>Year because they have an our style model framework which

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<v Speaker 1>says that, well, our long term interest rate needs to

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<v Speaker 1>be lower, so therefore we need to lower it, not

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<v Speaker 1>because of the incoming data, but really because we think

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<v Speaker 1>in the long run we should have a lower level

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<v Speaker 1>of rates. So yes, it is true that they did

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<v Speaker 1>cut and our expectation is that they may even also

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<v Speaker 1>cut here in November.

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<v Speaker 5>But given the incoming data.

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<v Speaker 1>The risks are rising now that we may have more

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<v Speaker 1>upside risk than downside risk to the economic.

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<v Speaker 2>Tursting on about so if your continental view of years

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<v Speaker 2>ago at Deutsche Bank, to me, the great differential here

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<v Speaker 2>in becoming ever more evident each and every day, is

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<v Speaker 2>the nominal GDP difference between Europe, say, and the United States.

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<v Speaker 2>I got four percent even five percent nomenal working in

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<v Speaker 2>the US. Europe's pretty much flat on their back. Is

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<v Speaker 2>that because of our debt build up or we sent

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<v Speaker 2>our grandchildren essentially funding our nominal GDP.

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<v Speaker 1>Well, the US has some tailwinds that are rather unique

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<v Speaker 1>to the US. We have an AI revolution in the

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<v Speaker 1>US we don't really have in Europe. We also have

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<v Speaker 1>significant support from the Chips Act, the Inflaze Production Act,

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<v Speaker 1>the Infrastructure Act. We don't have those tailwinds in Europe either.

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<v Speaker 1>And on top of that, Europe has now some headwinds,

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<v Speaker 1>of course from inner new sensation, from the challenges more

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<v Speaker 1>broadly speaking that they have with the economy with low productivity.

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<v Speaker 1>They have some challenges also with elections in Germany and

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<v Speaker 1>in France that have created a little bit more complicated

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<v Speaker 1>political situation. So broadly speaking, the US has some tailwinds,

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<v Speaker 1>Europe has some hit winds, and that's the reason why

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<v Speaker 1>Europe still is unfortunately having a weaker outlook for growth.

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<v Speaker 2>So you're having a cup of coffee with Rowan and Zelter.

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<v Speaker 2>I know you're not on speaking terms with them, but

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<v Speaker 2>you know, Let's presume you know you're doing an eight

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<v Speaker 2>o'clock meeting with the fancy people, Apollo, what are you

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<v Speaker 2>advising them about the general market, the tone of our

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<v Speaker 2>equity markets.

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<v Speaker 5>Well, we talk every day.

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<v Speaker 1>And the advice, of course is here still that the

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<v Speaker 1>economy is doing just fine across the board wide range

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<v Speaker 1>of indicators we are seeing. If you look at the

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<v Speaker 1>daily data for how many people fly on airplanes is

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<v Speaker 1>still very strong. The daily data from my Bloomberg screen

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<v Speaker 1>how many people go to restaurants is also very strong.

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<v Speaker 1>The daily data from my Bloomberg screen on depit card

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<v Speaker 1>transactions is also very strong. The weekly data for how

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<v Speaker 1>many people go to the movies, go to Broadway shows,

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<v Speaker 1>retail spending is all very strong. So that's basically telling

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<v Speaker 1>you that broadly speaking, there is no recession. There's no

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<v Speaker 1>sign of a recession. GDP last quarter was three percent

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<v Speaker 1>Atlanta fit GDP NOWT for this quarter is two and

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<v Speaker 1>a half. Where is the slowdown everyone is so worried about,

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<v Speaker 1>So it's not surprising the non found payrolls.

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<v Speaker 5>Continues to be strong.

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<v Speaker 1>So the advice really is that look at the data

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<v Speaker 1>that comes in instead of looking at frameworks for thinking

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<v Speaker 1>about where we might be theoretically with us STAR and

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<v Speaker 1>if it funds raised in several years time.

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<v Speaker 4>What's the top question that you're getting from clients and

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<v Speaker 4>how do you use that as a potential sentiment gauge.

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<v Speaker 1>Yeah, a very important question is, of course financing and

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<v Speaker 1>financial conditions. Financial markets are very easy, with the stock

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<v Speaker 1>market as usual close to all time highs, credit spreads

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<v Speaker 1>very tight on ITG high yield and loans, and likewise,

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<v Speaker 1>when it comes to financing for companies, there is a

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<v Speaker 1>general trend of deep banking, where financing is moving away

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<v Speaker 1>from the banking sector, moving to long term stable financing

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<v Speaker 1>capucial sources, and those types of financing of course are

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<v Speaker 1>beginning to play a bigger and bigger role because there

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<v Speaker 1>is a change in the financial system that's beginning to

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<v Speaker 1>be much more pronounced and play a more significant role

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<v Speaker 1>when it comes to providing financing to consumers and providing

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<v Speaker 1>financing to firms.

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<v Speaker 5>So this debate about how is.

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<v Speaker 1>The financial system changing, both in terms of how we

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<v Speaker 1>say for retirement, also in terms of how consumers borrow,

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<v Speaker 1>how firms borrow, and also in terms of the role

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<v Speaker 1>of banks is playing a very important part of my

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<v Speaker 1>conversations with LPs.

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<v Speaker 5>At the moment.

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<v Speaker 2>Torston slock with us with apollow global management. We continue

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<v Speaker 2>a good conversation here Turiston. If we don't get the

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<v Speaker 2>rate cuts, so many people are modeling what does that

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<v Speaker 2>do to our economy? Is it something that we have

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<v Speaker 2>to work out and work through or is it just

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<v Speaker 2>another at the races and we normalize at these levels.

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<v Speaker 5>I like that description another day the races.

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<v Speaker 1>So I do think that this is a very fundamental question, namely,

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<v Speaker 1>if monetary policy really is restrictive.

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<v Speaker 5>The FED keeps emphasizing and saying the Fed funds rate.

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<v Speaker 1>Which today is about five, and in the long run

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<v Speaker 1>we're going to down around three. Well, given five in

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<v Speaker 1>interest rates is higher than three, then the definition, according

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<v Speaker 1>to the Fed must be that the monetary policy stands

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<v Speaker 1>is restrictive or constraining on economic growth. But that's not

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<v Speaker 1>what non found payrolls of two hundred and fifty four

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<v Speaker 1>thousand suggesting, that's not what a declining on in plantar

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<v Speaker 1>rate is suggesting. That's not a declining default rate for

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<v Speaker 1>lebl loads is suggesting. So if it really were the

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<v Speaker 1>case that monaster policy was restrictive, as the FED has

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<v Speaker 1>been arguing, why is the incoming data then still good? So, therefore,

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<v Speaker 1>tom to your question, if they do not cut, we

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<v Speaker 1>should expect that these tailwinds from AI investing, from energy transition,

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<v Speaker 1>from the Chips Act, Inflation Reduction Act, infrastruction, government spending,

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<v Speaker 1>and generally less sensitivity to interstrates for consumers and firms

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<v Speaker 1>because they have locked in low interest rates. We should

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<v Speaker 1>expect these things to still provide a tail and therefore

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<v Speaker 1>make the US economic outlook stronger than what we see

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<v Speaker 1>elsewhere in the world because of these idiosyncratic forces that

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<v Speaker 1>we're seeing in the US.

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<v Speaker 4>After that blew out jobs report, Bank of America is

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<v Speaker 4>making a call about how CPI is no longer a

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<v Speaker 4>non event. And the implied move right now in the

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<v Speaker 4>options market for CPI day is about one point one

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<v Speaker 4>percent in either direction for the S and P five

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<v Speaker 4>hundred versus about a seventy basis point move over the

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<v Speaker 4>last three months on that day. So how vital is

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<v Speaker 4>it when it comes to this latest report coming up

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<v Speaker 4>in a few sessions here as far as what it

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<v Speaker 4>means for the Fed's next rate decision.

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<v Speaker 1>Yeah, this is a really important question because think about

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<v Speaker 1>it for years when inflation started going up in twenty

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<v Speaker 1>twenty one twenty two, all the debate was inflation, inflation, inflation.

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<v Speaker 1>Now when inflation there has come down much closer to two,

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<v Speaker 1>we're two and a half today. We were at nine

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<v Speaker 1>in twenty twenty two, so we are very close to two.

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<v Speaker 1>Now the pendulum swung back to well, now you know

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<v Speaker 1>what it's all about unemployment, because we can check off

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<v Speaker 1>the box with inflation and say, let's not worry about

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<v Speaker 1>that anymore. But because we now have this risk that

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<v Speaker 1>inflation could potentially begin to move higher, it is almost

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<v Speaker 1>as if the problem is about to swing back towards

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<v Speaker 1>inflation again. As you're saying, that's not how markets look

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<v Speaker 1>at Thursday's data that's coming out on the CPI. But

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<v Speaker 1>it still is very important here that the different focus

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<v Speaker 1>from the Fed sometimes is inflation.

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<v Speaker 5>Now it's been unemployment.

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<v Speaker 1>Well, now we're back to watching inflation actually is on

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<v Speaker 1>its way.

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<v Speaker 5>Back to the two percent target.

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<v Speaker 1>Or if there's a risk that in particular the forty

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<v Speaker 1>percent of the CPI basket that is housing, if that

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<v Speaker 1>begins to move higher again, then we will certainly have

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<v Speaker 1>much more focus back on inflation again.

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<v Speaker 4>And of course when you're looking at the money market

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<v Speaker 4>funds still being around records here, if rates do stay

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<v Speaker 4>a bit elevated, what's the actual yield based on history

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<v Speaker 4>as far as when need see money coming out of

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<v Speaker 4>money market funds and more going into the equity market.

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<v Speaker 1>Yeah, and this is the real host mystery looking ahead,

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<v Speaker 1>namely the more than six trillion dollars in money market funds.

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<v Speaker 1>A lot of that money came into money market funds

0:11:04.400 --> 0:11:07.360
<v Speaker 1>because the fifth funds rate went up. Now the fifth

0:11:07.360 --> 0:11:09.960
<v Speaker 1>funds rate is going down. So the question is what

0:11:10.080 --> 0:11:11.920
<v Speaker 1>I invest us in money market funds going to do?

0:11:12.520 --> 0:11:16.240
<v Speaker 1>Historically they have gone into other types of fixed income itg. Credit,

0:11:16.400 --> 0:11:19.240
<v Speaker 1>some high yield, maybe some loans. But the question is

0:11:19.320 --> 0:11:20.800
<v Speaker 1>might they even take some of this and put it

0:11:20.840 --> 0:11:23.439
<v Speaker 1>into equities if the fit continues to.

0:11:23.400 --> 0:11:24.280
<v Speaker 5>Lower interest rates?

0:11:24.320 --> 0:11:26.600
<v Speaker 1>In other words, what is the risk willingness of that

0:11:26.679 --> 0:11:28.600
<v Speaker 1>six trillion dollars in money market funds?

0:11:28.720 --> 0:11:29.320
<v Speaker 5>Where do they go?

0:11:29.720 --> 0:11:32.640
<v Speaker 2>Yeah, this is brilliant tours. Just great question because this

0:11:32.760 --> 0:11:36.320
<v Speaker 2>is just the heart of the matter. But it's nonlinear tours.

0:11:36.320 --> 0:11:38.280
<v Speaker 2>And we just had a model. What did you learn

0:11:38.840 --> 0:11:42.920
<v Speaker 2>in the lower interest rate experiment of the last twelve

0:11:43.280 --> 0:11:46.240
<v Speaker 2>Maybe sixteen weeks. What's a lesson you took away?

0:11:46.960 --> 0:11:50.600
<v Speaker 1>Well, I think a lesson is exactly something that we

0:11:50.640 --> 0:11:52.640
<v Speaker 1>can get from what happened for the fourteen years from

0:11:52.640 --> 0:11:54.840
<v Speaker 1>two thousand and eight to twenty twenty two, when interest

0:11:54.920 --> 0:11:58.280
<v Speaker 1>rates were literally at zero. Well, in those situations, when

0:11:58.320 --> 0:12:01.920
<v Speaker 1>we had investors a lot of money that gave much

0:12:01.960 --> 0:12:02.559
<v Speaker 1>lower in.

0:12:02.600 --> 0:12:06.160
<v Speaker 5>Return in rates, they began to chase yield.

0:12:06.520 --> 0:12:09.120
<v Speaker 1>The hunter yield, of course resulted in a rally in

0:12:09.200 --> 0:12:12.400
<v Speaker 1>a broad range of asset classes, and also in this case,

0:12:12.400 --> 0:12:15.400
<v Speaker 1>will likely result when the Fed now embarks on lowering rates.

0:12:15.480 --> 0:12:17.760
<v Speaker 1>What we're debating is to speak with which they're lowering rates,

0:12:17.760 --> 0:12:20.120
<v Speaker 1>not if they're lowering rates. So even if they do

0:12:20.200 --> 0:12:22.600
<v Speaker 1>lower a little bit slower as I would expect, I

0:12:22.640 --> 0:12:23.800
<v Speaker 1>do think that this will.

0:12:23.640 --> 0:12:26.320
<v Speaker 5>Be positive also for credit. It will also be positive

0:12:26.320 --> 0:12:26.959
<v Speaker 5>for equities.

0:12:27.080 --> 0:12:30.080
<v Speaker 1>It'll be positive for asset classes that generally benefit when

0:12:30.080 --> 0:12:32.559
<v Speaker 1>interest rates move to lower levels. But what's most important

0:12:32.600 --> 0:12:35.199
<v Speaker 1>this debate is that we are not going back to zero.

0:12:35.679 --> 0:12:38.840
<v Speaker 1>We will have According to so for futures, the fitfunds

0:12:38.920 --> 0:12:41.199
<v Speaker 1>rate at around three to four percent for the next

0:12:41.240 --> 0:12:43.199
<v Speaker 1>five to seven years, and that does mean that fixed

0:12:43.240 --> 0:12:47.040
<v Speaker 1>income including private credit is looking more attractive because we

0:12:47.160 --> 0:12:49.520
<v Speaker 1>had a very different environment with interest rate for zero

0:12:49.760 --> 0:12:51.640
<v Speaker 1>relative to now we're interest rates are between three and

0:12:51.679 --> 0:12:52.920
<v Speaker 1>four Tourdson Slack.

0:12:53.040 --> 0:12:56.600
<v Speaker 2>Michelle Bowman gets a massive victory lab you grew up

0:12:56.640 --> 0:12:59.240
<v Speaker 2>with the descent of the ECB, the descent of the

0:12:59.280 --> 0:13:02.480
<v Speaker 2>Bank of England, and should we see more Michelle Bowman

0:13:02.720 --> 0:13:04.439
<v Speaker 2>like dissent at the FED.

0:13:05.800 --> 0:13:08.520
<v Speaker 1>I do think that this is a healthy development. Not

0:13:08.640 --> 0:13:12.080
<v Speaker 1>that they shouldn't all agree all the time, but I

0:13:12.120 --> 0:13:14.040
<v Speaker 1>do think that in particular in this instance where we

0:13:14.080 --> 0:13:18.319
<v Speaker 1>are exactly debating will maybe the fifty basis points cut

0:13:18.400 --> 0:13:22.600
<v Speaker 1>which was really justified by a recalibration. Remember j Pal

0:13:22.800 --> 0:13:24.800
<v Speaker 1>mentioned ten times in the press conference that the reason

0:13:24.840 --> 0:13:27.760
<v Speaker 1>why they did this was to recalibrate monetary policy, not

0:13:27.800 --> 0:13:30.200
<v Speaker 1>because the incoming data was weak. I do think that

0:13:30.280 --> 0:13:32.760
<v Speaker 1>there is now a healthy debate among the FFORMC MEM

0:13:32.800 --> 0:13:35.440
<v Speaker 1>which we heard from several of them yesterday, that hey,

0:13:35.520 --> 0:13:37.240
<v Speaker 1>maybe we should go a little bit slower, maybe we

0:13:37.240 --> 0:13:39.280
<v Speaker 1>should watch the data a bit more carefully. And I

0:13:39.320 --> 0:13:42.520
<v Speaker 1>do think that therefore descents are probably more pronounced feature

0:13:42.760 --> 0:13:44.600
<v Speaker 1>of AFMC meetings over the next level.

0:13:44.679 --> 0:13:47.320
<v Speaker 2>Quarters can't wait towisted few to be appointed a governor.

0:13:47.400 --> 0:13:49.480
<v Speaker 2>Mister Slock is with the Powell. Thank you for the

0:13:49.559 --> 0:14:02.800
<v Speaker 2>generous time here. Had an uncle. He is a professor

0:14:02.840 --> 0:14:05.839
<v Speaker 2>at Union College in Schenectady. When my father got angry

0:14:05.880 --> 0:14:08.800
<v Speaker 2>at me, say spell Schenectady, which I never could do.

0:14:09.160 --> 0:14:13.920
<v Speaker 2>Jennifer Lawless Caspell, Schenectady. She survived Winter's there. What was

0:14:13.960 --> 0:14:17.160
<v Speaker 2>it like at Union College a few years ago, Jennifer Lawless.

0:14:18.240 --> 0:14:20.360
<v Speaker 6>It was so many years ago now, but it was

0:14:20.400 --> 0:14:21.400
<v Speaker 6>snowy and cold.

0:14:21.480 --> 0:14:24.680
<v Speaker 2>It was cold, That's what I remember. On the Mohawk River,

0:14:24.800 --> 0:14:27.800
<v Speaker 2>it was mostly called. Jennifer Lawless out of Union and

0:14:28.160 --> 0:14:31.000
<v Speaker 2>of course Stanford and now holding court at the University

0:14:31.040 --> 0:14:36.840
<v Speaker 2>of Virginia. She's absolutely definitive on the female species in

0:14:36.880 --> 0:14:40.600
<v Speaker 2>our political moment, Professor Lawless, How was the Vice President

0:14:40.640 --> 0:14:44.560
<v Speaker 2>of the United States doing and garnering the votes of women?

0:14:46.280 --> 0:14:49.640
<v Speaker 6>She's doing as well as most Democratic candidates do. Most

0:14:49.680 --> 0:14:51.840
<v Speaker 6>people think that when there's a woman at the top

0:14:51.880 --> 0:14:54.680
<v Speaker 6>of the ticket, there's a bigger gender gap, But the

0:14:54.760 --> 0:14:59.080
<v Speaker 6>reality is that female voters tend to prefer Democratic candidates,

0:14:59.360 --> 0:15:02.200
<v Speaker 6>male voters to prefer Republicans, and the sex of the

0:15:02.240 --> 0:15:04.960
<v Speaker 6>candidate doesn't matter that much in terms of vote choice.

0:15:05.040 --> 0:15:08.160
<v Speaker 6>But what Kamala Harris is doing is really motivating women

0:15:08.480 --> 0:15:11.680
<v Speaker 6>to turnout, and ultimately it's likely going to be a

0:15:11.680 --> 0:15:12.360
<v Speaker 6>turnout election.

0:15:12.600 --> 0:15:15.800
<v Speaker 2>Which is the key female turnout? Is it the women

0:15:15.840 --> 0:15:18.640
<v Speaker 2>of the suburbs of Philadelphia and Pittsburgh that we heard

0:15:18.680 --> 0:15:21.680
<v Speaker 2>about two years ago and four years ago or is

0:15:21.680 --> 0:15:24.960
<v Speaker 2>it a different distinction of women that she needs to win.

0:15:26.320 --> 0:15:27.600
<v Speaker 7>I think it's two groups of women.

0:15:27.640 --> 0:15:31.040
<v Speaker 6>It's the suburban women for sure, because in battleground states

0:15:31.040 --> 0:15:35.320
<v Speaker 6>they're often decisive. But it's also motivating young women who

0:15:35.760 --> 0:15:38.040
<v Speaker 6>need to turn out if Harris is going to not

0:15:38.120 --> 0:15:41.440
<v Speaker 6>only build up her popular vote but also secure wins

0:15:41.520 --> 0:15:44.640
<v Speaker 6>in tough states, and young people have traditionally been less

0:15:44.640 --> 0:15:47.400
<v Speaker 6>reliable when it comes to turnout, so anything she can

0:15:47.440 --> 0:15:51.160
<v Speaker 6>do to make sure that young women are enthusiastic will

0:15:51.160 --> 0:15:52.560
<v Speaker 6>be very helpful on election day.

0:15:52.720 --> 0:15:55.000
<v Speaker 4>So which states are going to be most crucial for

0:15:55.240 --> 0:15:57.360
<v Speaker 4>the female vote?

0:15:57.880 --> 0:16:00.560
<v Speaker 6>Well, basically the female vote is really important in all

0:16:00.680 --> 0:16:04.320
<v Speaker 6>states because when the Democrats are able to ensure that

0:16:04.360 --> 0:16:07.480
<v Speaker 6>they have greater margins among women, they tend to win.

0:16:07.680 --> 0:16:09.960
<v Speaker 6>So if she can up the female vote, if she

0:16:10.000 --> 0:16:13.840
<v Speaker 6>can increase her margins on blue wall states like Michigan, Wisconsin,

0:16:13.880 --> 0:16:17.000
<v Speaker 6>in Pennsylvania as well as along the Sun Belt. Those

0:16:17.000 --> 0:16:19.720
<v Speaker 6>are two good paths to victory without a big advantage

0:16:19.720 --> 0:16:21.560
<v Speaker 6>among women, it's hard to see that happening.

0:16:23.040 --> 0:16:25.440
<v Speaker 4>And as far as when it comes to those swing states,

0:16:25.440 --> 0:16:27.400
<v Speaker 4>which ones do you think are most crucial because you're

0:16:27.440 --> 0:16:29.280
<v Speaker 4>named a couple there, But do you think it'll really

0:16:29.360 --> 0:16:30.160
<v Speaker 4>come down to those?

0:16:31.840 --> 0:16:32.240
<v Speaker 7>I do.

0:16:32.640 --> 0:16:36.440
<v Speaker 6>I think without winning Pennsylvania it becomes very, very difficult

0:16:36.520 --> 0:16:39.160
<v Speaker 6>to win the election, especially given the amount of time

0:16:39.200 --> 0:16:41.800
<v Speaker 6>that she's been spending in Pennsylvania, that Walls has been

0:16:41.800 --> 0:16:44.760
<v Speaker 6>spending in Pennsylvania, and Joe Biden's connections to Pennsylvania.

0:16:44.800 --> 0:16:46.320
<v Speaker 7>So I think that's the most important state.

0:16:46.640 --> 0:16:49.400
<v Speaker 6>And if she wins Pennsylvania or plans to win Pennsylvania,

0:16:49.640 --> 0:16:52.280
<v Speaker 6>the easiest path to victory is then through the blue

0:16:52.320 --> 0:16:53.880
<v Speaker 6>wall states of Michigan and Wisconsin.

0:16:54.960 --> 0:16:57.160
<v Speaker 2>I look, Jennifer Loss, I want to go back to

0:16:57.160 --> 0:17:00.840
<v Speaker 2>your core research here, which is so many other countries

0:17:01.040 --> 0:17:04.200
<v Speaker 2>we seem to be very comfortable with women in any

0:17:04.320 --> 0:17:07.080
<v Speaker 2>number of slots, whether a representative, senator, even at the

0:17:07.119 --> 0:17:10.920
<v Speaker 2>local level, is well, you know, the work you've done

0:17:10.960 --> 0:17:15.320
<v Speaker 2>at UVA. Running for office is still for men. How

0:17:15.359 --> 0:17:17.840
<v Speaker 2>did we get there? Why are we distinctive in this?

0:17:19.680 --> 0:17:22.639
<v Speaker 6>It's interesting. It's really a supply problem and not a

0:17:22.640 --> 0:17:24.960
<v Speaker 6>demand problem. And by that I mean that when women

0:17:25.040 --> 0:17:27.880
<v Speaker 6>run for office, they generally fare just as well as men.

0:17:28.000 --> 0:17:30.080
<v Speaker 6>They're just as likely to win their elections, they raise

0:17:30.160 --> 0:17:33.520
<v Speaker 6>just as much money, their media coverage generally looks the same.

0:17:34.040 --> 0:17:36.920
<v Speaker 7>And keep in mind, in twenty sixteen, Hillary Clinton.

0:17:36.600 --> 0:17:39.480
<v Speaker 6>Did win the popular vote, so voters, donors, and the

0:17:39.560 --> 0:17:42.960
<v Speaker 6>media seem okay with women. The problem is that women

0:17:43.000 --> 0:17:45.880
<v Speaker 6>are still significantly less likely than men to emerge as

0:17:45.880 --> 0:17:49.119
<v Speaker 6>candidates and run for office, largely because they perceived that

0:17:49.160 --> 0:17:51.640
<v Speaker 6>there's widespread systematic bias against them.

0:17:51.960 --> 0:17:54.200
<v Speaker 7>And so it's sort of a chicken and egg problem.

0:17:54.320 --> 0:17:56.280
<v Speaker 6>If we don't have enough women out there, we can't

0:17:56.280 --> 0:17:58.800
<v Speaker 6>normalize it for more women to start emerging.

0:17:59.000 --> 0:18:00.720
<v Speaker 4>So what do you think ultimately needs to be done

0:18:00.760 --> 0:18:01.600
<v Speaker 4>in order to fix that?

0:18:03.000 --> 0:18:05.200
<v Speaker 7>Two things. The first is political recruitment.

0:18:05.520 --> 0:18:08.080
<v Speaker 6>When women are encouraged to run for office, either by

0:18:08.080 --> 0:18:11.359
<v Speaker 6>a party leader, elected official, or political activist, but also

0:18:11.480 --> 0:18:14.120
<v Speaker 6>by a family member, colleague, or friend, they're far more

0:18:14.200 --> 0:18:16.440
<v Speaker 6>likely to give it serious thought. And if you don't

0:18:16.440 --> 0:18:18.080
<v Speaker 6>think about something, you're not going to do it. So

0:18:18.119 --> 0:18:20.560
<v Speaker 6>that's an important first step. And the next thing that

0:18:20.600 --> 0:18:23.800
<v Speaker 6>we have to do, I think, is convey the reality

0:18:23.880 --> 0:18:26.520
<v Speaker 6>that when women run, they are just as likely to win.

0:18:26.800 --> 0:18:30.280
<v Speaker 6>We hear high profile stories about gender bias and discrimination

0:18:30.480 --> 0:18:32.600
<v Speaker 6>right all the time, and those things are true and

0:18:32.640 --> 0:18:34.800
<v Speaker 6>they do happen. But part of the reason that they're

0:18:34.840 --> 0:18:36.399
<v Speaker 6>newsworthy is because they're rare.

0:18:36.640 --> 0:18:39.240
<v Speaker 2>Professor Lawless, I believe in the Wall Street Journal today,

0:18:39.240 --> 0:18:41.119
<v Speaker 2>I don't have it in front of me. There was

0:18:41.160 --> 0:18:46.240
<v Speaker 2>a patheartical about Democrats in Michigan basically saying to the

0:18:46.320 --> 0:18:50.320
<v Speaker 2>vice president, let's go lose the media dash and get

0:18:50.400 --> 0:18:53.439
<v Speaker 2>up here in campaign. Where do you stand on that?

0:18:53.600 --> 0:18:57.119
<v Speaker 2>Does a vice president? I mean President Trump has a mode,

0:18:57.240 --> 0:19:00.000
<v Speaker 2>He has a model and he grinds it out every day.

0:19:00.800 --> 0:19:03.000
<v Speaker 2>Is there a mode? Is there a model to Harris

0:19:03.280 --> 0:19:06.520
<v Speaker 2>or does she to shift now? Twenty x days before.

0:19:06.200 --> 0:19:09.840
<v Speaker 6>The election, I think she's got to walk on chew gum.

0:19:10.200 --> 0:19:13.679
<v Speaker 6>We saw in twenty sixteen that Hillary Clinton wasn't campaigning

0:19:13.760 --> 0:19:17.880
<v Speaker 6>as actively as a lot of people thoughts it's and

0:19:17.960 --> 0:19:20.560
<v Speaker 6>turnout wasn't where it needed to be. But We've also

0:19:20.640 --> 0:19:23.920
<v Speaker 6>seen people like Joe Biden take a hit for avoiding

0:19:23.960 --> 0:19:29.040
<v Speaker 6>tough questions by journalists and doing the media tours and blitzes.

0:19:29.359 --> 0:19:31.879
<v Speaker 6>So I think the Harris campaign is trying to do both,

0:19:31.960 --> 0:19:34.240
<v Speaker 6>and she's got twenty eight days to demonstrate that she's

0:19:34.240 --> 0:19:34.879
<v Speaker 6>able to do it.

0:19:35.240 --> 0:19:38.880
<v Speaker 2>Jennifer Lawless, thank you so much, greatly, greatly appreciate it.

0:19:42.960 --> 0:19:47.399
<v Speaker 2>I really can't convey enough the theoretical foundations of Jeffrey Rosenberg.

0:19:47.920 --> 0:19:50.480
<v Speaker 2>He comes on the Fed day, he comes on other days,

0:19:50.520 --> 0:19:53.600
<v Speaker 2>and for Black Rock it's blah blah blah, and the

0:19:53.640 --> 0:19:56.800
<v Speaker 2>fixed income market over to economics, even with a touch

0:19:56.840 --> 0:20:01.520
<v Speaker 2>of equity analysis, but behind it is me Minnesota, Wisconsin,

0:20:02.160 --> 0:20:06.560
<v Speaker 2>and then on to Carnegie Mellon. It is rigorous mathematics.

0:20:07.080 --> 0:20:11.120
<v Speaker 2>Behind the Jeffrey Rosenberg comments, Jeff, what part of your

0:20:11.160 --> 0:20:16.040
<v Speaker 2>mathematics matters right now? And a basic equation of where

0:20:16.040 --> 0:20:18.720
<v Speaker 2>we're heading? What's your number one focus?

0:20:19.960 --> 0:20:23.160
<v Speaker 8>That's a great question, Tom, and the answer is rate

0:20:23.160 --> 0:20:27.120
<v Speaker 8>of change. And that's really what markets focus on. They

0:20:27.160 --> 0:20:32.399
<v Speaker 8>focus on much more than the level, the rate of change,

0:20:32.480 --> 0:20:35.680
<v Speaker 8>and that's really what last week's economic data and really

0:20:35.720 --> 0:20:37.920
<v Speaker 8>before that was all about. Right the rate of change

0:20:37.920 --> 0:20:41.480
<v Speaker 8>in the actual data and as importantly the rate of

0:20:41.560 --> 0:20:42.320
<v Speaker 8>change in.

0:20:42.200 --> 0:20:43.320
<v Speaker 3>The revised data.

0:20:43.920 --> 0:20:46.720
<v Speaker 8>And so that's really changing people's perspective about where this

0:20:46.840 --> 0:20:48.679
<v Speaker 8>economy is and where the FED has to be. And

0:20:48.720 --> 0:20:50.440
<v Speaker 8>that's what you see in the bond market the last

0:20:50.480 --> 0:20:53.399
<v Speaker 8>two three days. And it's pretty violent this rate of change.

0:20:53.400 --> 0:20:56.639
<v Speaker 2>To me, what's important here with first second derivative Newtonian

0:20:56.720 --> 0:21:02.080
<v Speaker 2>mechanics is a basic idea, Jeff Rosenberg, it's simple, chug

0:21:02.320 --> 0:21:06.439
<v Speaker 2>and plug. I mean, what does Jerown Powell need to

0:21:06.480 --> 0:21:10.399
<v Speaker 2>plug into the equation to lead us some stability for

0:21:10.520 --> 0:21:13.840
<v Speaker 2>dare I say a vision out to late twenty twenty five,

0:21:14.080 --> 0:21:15.040
<v Speaker 2>What does he need to do?

0:21:16.280 --> 0:21:18.720
<v Speaker 8>Yeah, you know, it's it's an interesting question because there

0:21:18.760 --> 0:21:21.159
<v Speaker 8>is a lot of you know, kind of taking the

0:21:21.320 --> 0:21:27.680
<v Speaker 8>SEP forecasts for growth and inflation, plugging those into a formula,

0:21:28.320 --> 0:21:32.000
<v Speaker 8>various variants of the tailor rule, and determining whether or

0:21:32.080 --> 0:21:35.160
<v Speaker 8>not the Fed's policy excuse me here for a second,

0:21:36.320 --> 0:21:40.879
<v Speaker 8>is overly restrictive. And the problem is the inputs to

0:21:41.000 --> 0:21:44.800
<v Speaker 8>those formulas they change, right, And that's a big part

0:21:44.800 --> 0:21:48.040
<v Speaker 8>of the recent you know, kind of reassessment here in

0:21:48.080 --> 0:21:51.119
<v Speaker 8>the bond markets. Really all the financial markets, that the

0:21:51.240 --> 0:21:56.800
<v Speaker 8>data has been revised, and the data particularly on labor markets,

0:21:56.840 --> 0:21:59.680
<v Speaker 8>the data in terms of the consumer and the broad

0:21:59.680 --> 0:22:00.320
<v Speaker 8>a coomy.

0:22:00.400 --> 0:22:02.920
<v Speaker 3>The debate between GDP.

0:22:02.560 --> 0:22:07.480
<v Speaker 8>And gd I basically was settled in favor of GDP

0:22:08.000 --> 0:22:11.280
<v Speaker 8>being the right measure, meaning this economy is as strong

0:22:11.320 --> 0:22:15.200
<v Speaker 8>as it appears and not this kind of stinky weakening.

0:22:15.440 --> 0:22:18.040
<v Speaker 8>And so the data going into those formulas is changing,

0:22:18.080 --> 0:22:20.320
<v Speaker 8>and it's basically saying, you know, the Fed is not

0:22:20.560 --> 0:22:22.680
<v Speaker 8>as restrictive as.

0:22:22.480 --> 0:22:23.159
<v Speaker 3>It thought it was.

0:22:23.320 --> 0:22:25.280
<v Speaker 4>And so in that case, on the back of this

0:22:25.400 --> 0:22:27.760
<v Speaker 4>latest jobs report and ahead of the CPI data later

0:22:27.800 --> 0:22:30.280
<v Speaker 4>this week, what is speculative trading in the futures market

0:22:30.320 --> 0:22:32.760
<v Speaker 4>for bonds telling us about the direction of yields?

0:22:34.400 --> 0:22:36.480
<v Speaker 8>Well, I mean you don't have to look at the

0:22:36.520 --> 0:22:40.520
<v Speaker 8>futures markets to see what the trading is saying. It's

0:22:40.880 --> 0:22:46.399
<v Speaker 8>it's basically spoken pretty clearly here and I think you

0:22:46.520 --> 0:22:50.240
<v Speaker 8>highlighted it in the break a minute ago. That we've

0:22:50.280 --> 0:22:53.480
<v Speaker 8>priced out the expectation that we're going to have, you know,

0:22:53.640 --> 0:22:58.000
<v Speaker 8>three fifty basis point cuts in a row, and now

0:22:58.040 --> 0:23:01.880
<v Speaker 8>you've backed off that pricing to November's twenty five. It's

0:23:01.880 --> 0:23:04.399
<v Speaker 8>actually a little bit underneath the twenty five and then

0:23:04.480 --> 0:23:08.639
<v Speaker 8>another twenty five in December, and so you're back to

0:23:09.160 --> 0:23:12.080
<v Speaker 8>a little bit more of the bond markets aligned to

0:23:12.160 --> 0:23:14.840
<v Speaker 8>what the FED was saying, whereas before and really much

0:23:14.880 --> 0:23:17.320
<v Speaker 8>of the year, the bond market has been just very

0:23:17.480 --> 0:23:20.280
<v Speaker 8>much aggressive, kind of overreacting.

0:23:20.720 --> 0:23:20.879
<v Speaker 2>You know.

0:23:20.880 --> 0:23:24.439
<v Speaker 8>Obviously, we came into the year huge expectations for a

0:23:24.440 --> 0:23:26.560
<v Speaker 8>lot of cuts. We had to price that out given

0:23:26.560 --> 0:23:27.640
<v Speaker 8>the inflation.

0:23:27.480 --> 0:23:29.879
<v Speaker 4>So level, and you know, as we head into the

0:23:29.920 --> 0:23:33.160
<v Speaker 4>final months of the year, how are you suggesting to clients?

0:23:33.240 --> 0:23:35.560
<v Speaker 4>What do they buy? What do they sell? In the

0:23:35.600 --> 0:23:37.679
<v Speaker 4>treasury market.

0:23:38.080 --> 0:23:42.080
<v Speaker 8>We've been, you know, pretty adamant that the vulnerability in

0:23:42.359 --> 0:23:45.600
<v Speaker 8>the bond positioning for most clients is what we've been

0:23:45.640 --> 0:23:47.560
<v Speaker 8>seeing a lot in the flows.

0:23:47.600 --> 0:23:49.480
<v Speaker 3>And what you see in the flows is this kind

0:23:49.480 --> 0:23:50.440
<v Speaker 3>of knee jerk.

0:23:50.240 --> 0:23:54.800
<v Speaker 8>Reaction to the expectation of the commencement of the Fed's

0:23:55.000 --> 0:23:57.840
<v Speaker 8>cutting cycle. And the knee jerk reaction is if the

0:23:57.840 --> 0:24:00.560
<v Speaker 8>Fed's cutting interest rates, then duration is my my friend,

0:24:00.760 --> 0:24:03.440
<v Speaker 8>and I want to own the maximal amount of duration

0:24:03.520 --> 0:24:04.440
<v Speaker 8>in my portfolio.

0:24:04.600 --> 0:24:06.840
<v Speaker 3>I want to own the longest maturities out there.

0:24:07.680 --> 0:24:10.720
<v Speaker 8>And that we've really been very much saying you gotta

0:24:10.760 --> 0:24:14.480
<v Speaker 8>be careful now. Number one, it's a little bit of

0:24:15.560 --> 0:24:18.000
<v Speaker 8>buy the rumor sell the news. The FED cut fifty

0:24:18.000 --> 0:24:21.359
<v Speaker 8>basis points and bonds lost money, so a lot of

0:24:21.400 --> 0:24:24.040
<v Speaker 8>it was already in the price, and you had a

0:24:24.080 --> 0:24:25.440
<v Speaker 8>lot of heightened expectations.

0:24:25.440 --> 0:24:27.040
<v Speaker 3>And number two is that.

0:24:27.040 --> 0:24:30.879
<v Speaker 8>You just have a lot differential reaction along the maturity spectrum.

0:24:31.240 --> 0:24:33.200
<v Speaker 8>When the FED cuts rates, it's mostly in the front

0:24:33.280 --> 0:24:35.479
<v Speaker 8>end where you see that impact, and the back end

0:24:35.480 --> 0:24:37.600
<v Speaker 8>can be affected by a lot of different things besides

0:24:37.640 --> 0:24:38.439
<v Speaker 8>just the FED cutting rate.

0:24:38.440 --> 0:24:40.920
<v Speaker 2>Now, I'm gonna go a little mathy here math warning

0:24:41.680 --> 0:24:44.360
<v Speaker 2>and Jeff, it goes off of what James Glassman said

0:24:44.400 --> 0:24:48.040
<v Speaker 2>yesterday I retired from JP Morgan about the technology overlay.

0:24:48.800 --> 0:24:50.959
<v Speaker 2>All the work you've done, Jeff, and how it folds

0:24:50.960 --> 0:24:55.399
<v Speaker 2>into the bond market is off of a productivity analysis

0:24:56.080 --> 0:24:59.840
<v Speaker 2>off of technology, and I would suggest off the foundation

0:25:00.240 --> 0:25:04.080
<v Speaker 2>Cob Douglas function, which has some exponents, it's got some

0:25:04.080 --> 0:25:07.399
<v Speaker 2>Greek letters in it, but there's a big, fat, ugly

0:25:07.600 --> 0:25:11.600
<v Speaker 2>A at the beginning of the Cob Douglas function, and

0:25:11.640 --> 0:25:15.119
<v Speaker 2>that's sort of like where are we now? Well, it's like, okay,

0:25:15.160 --> 0:25:18.600
<v Speaker 2>this is the technology, this is the economy. We're going

0:25:18.680 --> 0:25:20.680
<v Speaker 2>to do the math, but we really don't know where

0:25:20.720 --> 0:25:24.840
<v Speaker 2>are we now. How blind are you, Jeff Rosenberg in

0:25:25.440 --> 0:25:28.719
<v Speaker 2>working in fixed income at Blackrock, because you don't know

0:25:28.760 --> 0:25:32.560
<v Speaker 2>where we are right now on productivity or technology.

0:25:33.680 --> 0:25:37.880
<v Speaker 8>Yeah, the Cob Douglas production function, we can measure what

0:25:37.920 --> 0:25:41.600
<v Speaker 8>goes in and we can measure what comes out. It's

0:25:41.720 --> 0:25:46.760
<v Speaker 8>the magic inside that we don't know about. That's total

0:25:46.760 --> 0:25:47.880
<v Speaker 8>factory productivity.

0:25:49.680 --> 0:25:49.879
<v Speaker 5>You know.

0:25:50.480 --> 0:25:51.960
<v Speaker 3>You know, it's interesting time.

0:25:51.840 --> 0:25:54.280
<v Speaker 8>You talk a lot about you know, the math and

0:25:54.280 --> 0:25:56.000
<v Speaker 8>the science that we use, and a lot of the

0:25:56.000 --> 0:25:58.960
<v Speaker 8>math and the science that we use is the mathematics

0:25:58.960 --> 0:26:03.360
<v Speaker 8>of uncertainty, right It's it's using probability and statistics and

0:26:03.760 --> 0:26:08.119
<v Speaker 8>risk models to try to quantify uncertainty, because that's really

0:26:08.520 --> 0:26:09.320
<v Speaker 8>what it's about.

0:26:09.960 --> 0:26:10.119
<v Speaker 2>You know.

0:26:10.160 --> 0:26:11.640
<v Speaker 3>The cop Douglass function is nice.

0:26:11.680 --> 0:26:14.320
<v Speaker 8>It gives you a very certain form with a very

0:26:14.400 --> 0:26:16.840
<v Speaker 8>uncertain input. And that's a lot of what we see

0:26:16.840 --> 0:26:20.160
<v Speaker 8>in kind of the mathematics of economics is that there's

0:26:20.200 --> 0:26:24.119
<v Speaker 8>a there's a proposal of how the economy works, and

0:26:24.160 --> 0:26:27.280
<v Speaker 8>it's very nice and clean. The problem is a lot

0:26:27.280 --> 0:26:29.840
<v Speaker 8>of the inputs are unknown, and that's really what we're

0:26:29.880 --> 0:26:32.760
<v Speaker 8>dealing with whether it's kind of the role of AI,

0:26:33.440 --> 0:26:37.520
<v Speaker 8>the role of technology in changing total factor productivity and

0:26:37.600 --> 0:26:40.800
<v Speaker 8>our inability to measure that, or other things that we

0:26:40.800 --> 0:26:43.840
<v Speaker 8>were talking about before in reference to the tailor role.

0:26:43.920 --> 0:26:46.800
<v Speaker 8>The other you know, kind of big uncertainty is, you know,

0:26:46.880 --> 0:26:48.360
<v Speaker 8>the real neutral rate.

0:26:48.440 --> 0:26:51.320
<v Speaker 3>We don't know what that real neutral rate is, or

0:26:51.320 --> 0:26:52.120
<v Speaker 3>something even.

0:26:51.960 --> 0:26:54.240
<v Speaker 8>More, you know, kind of basic, which is we measure

0:26:54.359 --> 0:26:58.000
<v Speaker 8>economic data that we think we know with certainty, like

0:26:58.200 --> 0:27:02.280
<v Speaker 8>growth and inflation, or our payrolls are employment, we measure

0:27:02.320 --> 0:27:05.680
<v Speaker 8>it with error. So when there are revisions, there's a lot.

0:27:05.760 --> 0:27:07.879
<v Speaker 8>So it's really about dealing with that uncertainty. And I

0:27:07.880 --> 0:27:10.800
<v Speaker 8>think on this technology issue, you know, we really just

0:27:10.880 --> 0:27:13.520
<v Speaker 8>don't know what we really see in terms of technology.

0:27:13.560 --> 0:27:17.119
<v Speaker 8>The impact is this first phase, which is the investment

0:27:17.240 --> 0:27:21.879
<v Speaker 8>side and the tremendous kind of infrastructure build out, but

0:27:22.000 --> 0:27:24.040
<v Speaker 8>it's really kind of the second phase, which is the

0:27:24.080 --> 0:27:26.879
<v Speaker 8>services on top of that, and then the third stage,

0:27:26.920 --> 0:27:29.760
<v Speaker 8>which is you have the services that are expanding the

0:27:29.800 --> 0:27:34.200
<v Speaker 8>impact of that AI. That really builds into that fundamental

0:27:34.280 --> 0:27:37.240
<v Speaker 8>game shift or that many are talking about. Here is

0:27:37.240 --> 0:27:41.800
<v Speaker 8>the potential for AI to shift upward the total factor productivity.

0:27:41.800 --> 0:27:44.600
<v Speaker 8>But to say that's in the economic statistics today. I

0:27:44.600 --> 0:27:47.480
<v Speaker 8>think it's too early for that. What we clearly see

0:27:47.560 --> 0:27:49.200
<v Speaker 8>is this first phase of the investments.

0:27:49.480 --> 0:27:52.199
<v Speaker 2>I can't emphasize enough, Jess, and everybody knows where I

0:27:52.240 --> 0:27:56.640
<v Speaker 2>am on this is l Arian would say, thenown unknowns

0:27:56.720 --> 0:28:00.679
<v Speaker 2>right now that Jeff brilliantly laid out there the finance media.

0:28:00.760 --> 0:28:03.840
<v Speaker 2>I'm as guilty as this as anyone. We are certitude

0:28:03.840 --> 0:28:08.520
<v Speaker 2>one oh one. We believe the ten year yield Blowney,

0:28:09.000 --> 0:28:11.520
<v Speaker 2>I'm sorry. We have no clue when you look at

0:28:11.520 --> 0:28:13.720
<v Speaker 2>these variables like technology.

0:28:13.200 --> 0:28:14.960
<v Speaker 4>And this time a year ago is actually when the

0:28:15.000 --> 0:28:19.040
<v Speaker 4>ten year treasury yield spiked around five percent to that level.

0:28:19.040 --> 0:28:19.200
<v Speaker 2>There.

0:28:19.200 --> 0:28:21.080
<v Speaker 4>If you look now, it's trading at around the four

0:28:21.200 --> 0:28:23.960
<v Speaker 4>level after being around three six. But of course, if

0:28:23.960 --> 0:28:26.159
<v Speaker 4>you're looking at the Atlanta Fed GDP now model, it's

0:28:26.160 --> 0:28:28.160
<v Speaker 4>around two and a half percent for the third quarter.

0:28:28.200 --> 0:28:30.879
<v Speaker 4>So I'm curious why had Bonn yields continued to creep

0:28:30.960 --> 0:28:33.359
<v Speaker 4>lower this year despite sturdy economic growth.

0:28:35.280 --> 0:28:37.720
<v Speaker 3>You know, they went lower on a number of factors.

0:28:37.720 --> 0:28:41.240
<v Speaker 8>The biggest thing, you know, was this this fear, this slowdown, right,

0:28:41.360 --> 0:28:44.400
<v Speaker 8>I mean, we had a lot of conversation about the

0:28:44.480 --> 0:28:48.040
<v Speaker 8>unemployment rate ticking up, the PM rule predicting in recession,

0:28:48.480 --> 0:28:51.200
<v Speaker 8>a lot of recession fears, and that you know, pushed

0:28:51.320 --> 0:28:53.440
<v Speaker 8>and we got I would say, you know, the kind

0:28:53.440 --> 0:28:55.680
<v Speaker 8>of impact on that was. You know, the big fifty

0:28:55.720 --> 0:28:59.360
<v Speaker 8>basis point start of the cutting cycle is very much

0:28:59.400 --> 0:29:02.040
<v Speaker 8>built off of this kind of legacy of the late.

0:29:01.840 --> 0:29:05.480
<v Speaker 3>Summer slow down in the labor markets.

0:29:05.520 --> 0:29:07.160
<v Speaker 8>And now when we look back on it, with the

0:29:07.160 --> 0:29:13.080
<v Speaker 8>revisions and the data, the residual seasonality story around initial

0:29:13.480 --> 0:29:16.880
<v Speaker 8>jobless claims, you know, it's all kind of pointing to

0:29:17.080 --> 0:29:19.560
<v Speaker 8>maybe this labor market is a lot tighter than we

0:29:19.600 --> 0:29:21.360
<v Speaker 8>thought it was. But I think the big drop in

0:29:21.360 --> 0:29:24.120
<v Speaker 8>the yields was because we had this recession fear and

0:29:24.200 --> 0:29:28.360
<v Speaker 8>the jobs market and the labor data kind of supporting

0:29:28.400 --> 0:29:32.600
<v Speaker 8>this notion that the shift from the focus on inflation

0:29:32.800 --> 0:29:35.720
<v Speaker 8>to the shift on securing the soft landing meant the

0:29:35.760 --> 0:29:38.280
<v Speaker 8>FED had to be very, very aggressive, and that's where

0:29:38.320 --> 0:29:40.200
<v Speaker 8>you got yields coming down so aggressively.

0:29:40.280 --> 0:29:42.440
<v Speaker 4>And do you still see and you're keeping your call

0:29:42.480 --> 0:29:45.240
<v Speaker 4>of two twenty five basis point rate cuts for the

0:29:45.240 --> 0:29:47.160
<v Speaker 4>remainder of the year. For obviously, we have two more

0:29:47.160 --> 0:29:49.360
<v Speaker 4>meetings left in November and then in December.

0:29:50.280 --> 0:29:51.960
<v Speaker 8>Yeah, I said that kind of at the end of

0:29:52.120 --> 0:29:55.720
<v Speaker 8>Friday post payroll that you know, the easy call was

0:29:55.760 --> 0:29:59.000
<v Speaker 8>taking the fifty out for November. I think they're going

0:29:59.040 --> 0:30:01.040
<v Speaker 8>to want to stick with tw twenty five and twenty five.

0:30:01.080 --> 0:30:03.640
<v Speaker 8>Obviously we've got some more data between now and then,

0:30:03.680 --> 0:30:04.960
<v Speaker 8>and you know, critically.

0:30:04.560 --> 0:30:09.320
<v Speaker 3>Thursday this this inflation report. You know, we've moved inflation

0:30:09.480 --> 0:30:12.800
<v Speaker 3>to the secondary category of importance because of the I

0:30:12.840 --> 0:30:17.120
<v Speaker 3>would say erroneous belief that the attainment of two percent

0:30:17.240 --> 0:30:18.520
<v Speaker 3>is just is just a given.

0:30:18.720 --> 0:30:21.760
<v Speaker 8>And so I think if you had some surprises on inflation,

0:30:22.000 --> 0:30:23.160
<v Speaker 8>you can't really predict that.

0:30:23.160 --> 0:30:25.080
<v Speaker 3>That's the definition of surprise.

0:30:26.320 --> 0:30:29.360
<v Speaker 8>You know, you could change the narrative around the twenty five,

0:30:29.440 --> 0:30:31.840
<v Speaker 8>but right now, not knowing you know, whether we're.

0:30:31.640 --> 0:30:33.000
<v Speaker 3>Going to get that. I think the Fed's going to

0:30:33.080 --> 0:30:34.920
<v Speaker 3>try to continue to deliver on.

0:30:34.880 --> 0:30:37.040
<v Speaker 8>Twenty five and twenty five in November December, and that's

0:30:37.040 --> 0:30:38.400
<v Speaker 8>where I would you be expecting.

0:30:38.480 --> 0:30:40.480
<v Speaker 3>But you know, the data changes, we're going to have

0:30:40.520 --> 0:30:41.200
<v Speaker 3>to change your mind.

0:30:41.640 --> 0:30:43.560
<v Speaker 2>Jeff, this has been brilliant. Thank you so much, Jeff

0:30:43.640 --> 0:30:56.320
<v Speaker 2>Rosenberg with us in Black Rocket. This is a joy.

0:30:57.120 --> 0:31:00.520
<v Speaker 2>Greg Giau and the only one close is Dave Wasserman

0:31:00.560 --> 0:31:05.000
<v Speaker 2>and Cook Political Report is the granularity of America away

0:31:05.040 --> 0:31:08.920
<v Speaker 2>from all the endless news of two candidates. In that

0:31:08.960 --> 0:31:11.960
<v Speaker 2>we are thrilled that Greg Dureau of Bloomberg Government would

0:31:11.960 --> 0:31:14.680
<v Speaker 2>take time with us this morning. Greg, you're focused on

0:31:14.880 --> 0:31:20.200
<v Speaker 2>Washington State Republicans, and you're focused in California and Democrats

0:31:20.920 --> 0:31:24.479
<v Speaker 2>in a two at the top outcome. Explain that.

0:31:25.760 --> 0:31:29.320
<v Speaker 9>Yeah, So in some states it's possible for two Democrats

0:31:29.360 --> 0:31:32.120
<v Speaker 9>or two Republicans to advance to the general election because

0:31:32.120 --> 0:31:35.600
<v Speaker 9>they have unusual primary systems. Everyone runs on one ballot

0:31:35.640 --> 0:31:39.240
<v Speaker 9>in the primary instead of in separate Democratic or Republican primaries,

0:31:39.520 --> 0:31:41.840
<v Speaker 9>and the top two vote getters in that single ballot

0:31:41.960 --> 0:31:45.520
<v Speaker 9>race advanced to the general election regardless of party affiliation.

0:31:45.880 --> 0:31:49.360
<v Speaker 9>So in states like California, Washington State, and even in

0:31:49.680 --> 0:31:52.920
<v Speaker 9>states like Louisiana, it's possible to have two members of

0:31:52.960 --> 0:31:56.000
<v Speaker 9>the same party compete against one another in the general election.

0:31:56.680 --> 0:32:00.520
<v Speaker 2>It even sounds like seventeen eighty or seventeen ninety almost,

0:32:00.800 --> 0:32:05.400
<v Speaker 2>Greg duo, How is the left, the liberals, the progressive

0:32:05.600 --> 0:32:11.760
<v Speaker 2>doing nationwide? Do they have traction in this election? Yeah?

0:32:11.800 --> 0:32:13.720
<v Speaker 9>I mean I think they probably cast their lot in

0:32:13.800 --> 0:32:16.360
<v Speaker 9>with Vice President Harris. In the presidential race, you have,

0:32:16.400 --> 0:32:19.040
<v Speaker 9>you know, two choices. The left is going to buy

0:32:19.040 --> 0:32:22.080
<v Speaker 9>and large back Vice President Harris. I mean, they're always

0:32:22.120 --> 0:32:24.720
<v Speaker 9>going to be some disgruntle of people on the left

0:32:24.760 --> 0:32:27.560
<v Speaker 9>and the right who are going to, you know, maybe

0:32:27.600 --> 0:32:29.440
<v Speaker 9>not vote. But I think there'd probably be a decent

0:32:29.520 --> 0:32:32.080
<v Speaker 9>voter I to not in this election. In the Senate,

0:32:32.520 --> 0:32:35.400
<v Speaker 9>I think it's a bit different in that control the

0:32:35.440 --> 0:32:38.120
<v Speaker 9>Senate may come down to not what progressives think, but

0:32:38.240 --> 0:32:41.680
<v Speaker 9>what some Trump voters in Montana think, because I think

0:32:41.720 --> 0:32:44.200
<v Speaker 9>the tipping point state for control of the Senate right

0:32:44.240 --> 0:32:48.320
<v Speaker 9>now is Montana. And if John Tester, the Democratic senator there,

0:32:48.400 --> 0:32:51.560
<v Speaker 9>can win enough ticket splitters in his state, which is

0:32:51.600 --> 0:32:54.480
<v Speaker 9>going to vote for Trump by about fifteen to twenty points,

0:32:55.000 --> 0:32:58.280
<v Speaker 9>he needs so many Trump voters to split their tickets

0:32:58.280 --> 0:33:01.640
<v Speaker 9>and back him. So progressives will be very I think,

0:33:01.640 --> 0:33:04.760
<v Speaker 9>more important than presidential race and some down ballot races

0:33:04.800 --> 0:33:07.800
<v Speaker 9>for the House. But in the Senate, while they're important

0:33:07.800 --> 0:33:10.520
<v Speaker 9>in law of these swing states, watch Montana and what

0:33:10.560 --> 0:33:12.160
<v Speaker 9>do these Trump voters do.

0:33:12.440 --> 0:33:14.800
<v Speaker 4>One state I wanted to bring up is Texas because

0:33:14.800 --> 0:33:17.400
<v Speaker 4>you've written about how it's offering Democrats the best shot

0:33:17.480 --> 0:33:20.200
<v Speaker 4>for a Senate upset. Walk us through the dynamics here

0:33:20.200 --> 0:33:20.920
<v Speaker 4>and what's happening.

0:33:21.960 --> 0:33:24.320
<v Speaker 9>Yeah, So in Texas As, Senator Ted Cruz is seeking

0:33:24.320 --> 0:33:27.840
<v Speaker 9>a third term. Texas has not elected a Democrat and

0:33:27.880 --> 0:33:31.680
<v Speaker 9>a state wide election since since the nineteen nineties, has

0:33:31.720 --> 0:33:35.240
<v Speaker 9>not voted Democratic for the Senate since Lloyd Benson in

0:33:35.320 --> 0:33:38.960
<v Speaker 9>nineteen eighty eight, but Democrats have come close, including in

0:33:39.000 --> 0:33:42.600
<v Speaker 9>twenty eighteen when Bellew O'Rourke, who was Cruise's challenger, came

0:33:42.640 --> 0:33:46.000
<v Speaker 9>within three percentage points of beating the Senator. That wasn't

0:33:46.000 --> 0:33:49.520
<v Speaker 9>a good Democratic year Texas. Now we're in a presidential

0:33:49.560 --> 0:33:52.800
<v Speaker 9>election year. Trump is almost certainly going to carry Texas.

0:33:53.040 --> 0:33:55.360
<v Speaker 9>Maybe not by a wide margin, but the margin in

0:33:55.440 --> 0:33:57.840
<v Speaker 9>Texas four years ago was only five and a half

0:33:57.880 --> 0:34:02.360
<v Speaker 9>percentage points. So it's not a blowout state of Republicans anymore.

0:34:02.720 --> 0:34:05.800
<v Speaker 9>But it's still going to be very tough for Colin already,

0:34:05.960 --> 0:34:10.160
<v Speaker 9>a Democratic congressman who is Cruci's Democratic opponent, to get

0:34:10.200 --> 0:34:13.280
<v Speaker 9>from say forty seven percent to fifty percent plus one.

0:34:13.480 --> 0:34:15.920
<v Speaker 2>Greg jo Nick conadd article two days ago I think

0:34:15.960 --> 0:34:18.000
<v Speaker 2>in the New York Times, and I'm going to Senator

0:34:18.040 --> 0:34:22.400
<v Speaker 2>around the New York congressional race the surprise of twenty

0:34:22.680 --> 0:34:26.239
<v Speaker 2>twenty two. Do you frame the Greg juro work is

0:34:26.280 --> 0:34:30.040
<v Speaker 2>a continuation of what we saw in twenty twenty two

0:34:30.560 --> 0:34:34.120
<v Speaker 2>or is twenty twenty four really discreete and presidential?

0:34:35.960 --> 0:34:37.800
<v Speaker 9>Well, I think twenty twenty four in the race for

0:34:37.880 --> 0:34:39.719
<v Speaker 9>the House, New York is a state to watch, New

0:34:39.800 --> 0:34:42.440
<v Speaker 9>York and California, which makes it kind of different from

0:34:42.520 --> 0:34:45.480
<v Speaker 9>the presidential and senate election maps, which have a lot

0:34:45.520 --> 0:34:48.320
<v Speaker 9>of overlap in you know, the industrial Midwest and some

0:34:48.440 --> 0:34:50.680
<v Speaker 9>competitive sun Belt states. But when we were looking at

0:34:50.680 --> 0:34:52.839
<v Speaker 9>control of the House, yes, I'm looking at a lot

0:34:52.880 --> 0:34:55.480
<v Speaker 9>of my twenty twenty two notes in New York. You

0:34:55.920 --> 0:35:00.560
<v Speaker 9>have some rematch campaigns there, and it's going to come

0:35:00.640 --> 0:35:03.440
<v Speaker 9>down to Harris's margin in New York is going to

0:35:03.440 --> 0:35:06.399
<v Speaker 9>be important. Biden carried New York by about twenty three

0:35:06.480 --> 0:35:09.120
<v Speaker 9>points four years ago. It looks like Harris is not

0:35:09.200 --> 0:35:11.320
<v Speaker 9>going to win New York by that much. And therefore,

0:35:11.760 --> 0:35:14.640
<v Speaker 9>you know, those Republican congressmen seeking reelection may not have

0:35:14.800 --> 0:35:17.440
<v Speaker 9>to win as many ticket splitters as they did before,

0:35:17.840 --> 0:35:21.920
<v Speaker 9>but those are that the disproportionate number of competitive seats

0:35:22.280 --> 0:35:24.560
<v Speaker 9>for the House are in New York and California.

0:35:24.920 --> 0:35:28.480
<v Speaker 2>Greg. One final question, what's the single race Greg Dureau

0:35:28.640 --> 0:35:29.640
<v Speaker 2>is most focused on.

0:35:31.960 --> 0:35:34.480
<v Speaker 9>Wow, Well, I think the Montana Senate race for the

0:35:34.560 --> 0:35:37.759
<v Speaker 9>past as you mentioned earlier, but also I don't know.

0:35:37.880 --> 0:35:41.640
<v Speaker 9>I think I'll pick New York's nineteenth district since we

0:35:41.680 --> 0:35:44.600
<v Speaker 9>were just talking about New York Mark Malonaro. This district

0:35:44.719 --> 0:35:48.160
<v Speaker 9>runs from Ithaca east through the Catskills, some of the

0:35:48.239 --> 0:35:51.360
<v Speaker 9>Upper Hudson Valley all the way to the past Albany.

0:35:51.640 --> 0:35:55.279
<v Speaker 9>It voted almost exactly for Biden and Trump as the

0:35:55.400 --> 0:35:58.560
<v Speaker 9>nation did. So it's a very good I think bell

0:35:58.640 --> 0:36:01.840
<v Speaker 9>weather as to which which way the political wins may

0:36:01.880 --> 0:36:02.680
<v Speaker 9>be shifting this year.

0:36:03.000 --> 0:36:05.040
<v Speaker 2>Greg, this has been wonderful. Hope we can catch up

0:36:05.040 --> 0:36:07.560
<v Speaker 2>with you on a weekly basis here as we dashed

0:36:07.600 --> 0:36:10.279
<v Speaker 2>in November fifth, Greg d Folks. For those of you

0:36:10.440 --> 0:36:14.000
<v Speaker 2>within Bloomberg Government and available on the Bloomberg terminal, I

0:36:14.120 --> 0:36:19.680
<v Speaker 2>can't say enough about Greg Dua. His newsletter Ballots and

0:36:19.719 --> 0:36:23.000
<v Speaker 2>Power is absolutely must read. I just I can't say enough.

0:36:23.239 --> 0:36:26.120
<v Speaker 2>Sign up for that as you're able to Greg Duau

0:36:26.280 --> 0:36:31.200
<v Speaker 2>with Bloomberg Government. This is the Bloomberg Surveillance Podcast. Bringing

0:36:31.239 --> 0:36:35.600
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0:36:35.920 --> 0:36:39.239
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