WEBVTT - Fed Focus Is on September Updates to SEP

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<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business, finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>What is it?

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<v Speaker 3>Well, when tomorrow comes, That's when we hear from fed

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<v Speaker 3>share J. Powell two pm. We get the decision. Thirty

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<v Speaker 3>minutes later, we're going to hear from the man himself.

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<v Speaker 3>It's the sixth meeting of the Federal Reserves Policy Setting

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<v Speaker 3>Commeting Policy Setting Committee. We're going to have all the

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<v Speaker 3>US Central Bank's latest view on economic projections on the

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<v Speaker 3>US economy. Is it going to be a snoozer? Or

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<v Speaker 3>might there be some possible fireworks with his view? Back

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<v Speaker 3>with us, we got doctor Stephen Skanky, chief economic advisor

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<v Speaker 3>at keep Point, also a former US Treasury and White

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<v Speaker 3>House National Security Council staff member, joining us on Zoom

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<v Speaker 3>from Washington, DC. Also with us, Anna Wong, chief US

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<v Speaker 3>economist for Bloomberg Economics, on Zoom from our Washington DC bureau.

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<v Speaker 3>Doctor Skanky, good to have you with us. It's a

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<v Speaker 3>good day to talk to both of you, especially ahead

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<v Speaker 3>of hearing from FED Chair J Powell tomorrow, the committee

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<v Speaker 3>meeting today. Of course, what's top of mind for them,

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<v Speaker 3>do you think, doctor Skanky.

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<v Speaker 4>Well, they're still trying to figure out whether inflation is

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<v Speaker 4>had just taken a break and is not going to rebound. Certainly,

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<v Speaker 4>they're concerned about the high oil and energy price numbers

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<v Speaker 4>and what that's doing in gasoline on the headline, and

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<v Speaker 4>how that translates through to core inflation. So that's that's

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<v Speaker 4>certainly a concern. The other concern is that the economy

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<v Speaker 4>still seemed to be growing pretty robustly for all the

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<v Speaker 4>reason that we think consumer spending should be slowing. The

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<v Speaker 4>latest numbers last week didn't show that at all, and

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<v Speaker 4>that's got to be a concern for them.

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<v Speaker 3>I want to bring in Anna Wong, but first, speaking

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<v Speaker 3>of headlines, the Treasury tenure yield rising to four point

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<v Speaker 3>three six five percent, the highest going all the way

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<v Speaker 3>back to two thousand and seven. Anna Wong is chief

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<v Speaker 3>US economists for Bloomberg Economics, and you've got a great

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<v Speaker 3>piece out about why a soft landing call always precedes recessions.

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<v Speaker 3>Take us into the history there, and also why you

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<v Speaker 3>know you think it's a little too early for people

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<v Speaker 3>to declare soft landing this time around.

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<v Speaker 5>Yeah, so, you know, we have seen four recessions in

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<v Speaker 5>the past, say since nineteen ninety, and preceding each of

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<v Speaker 5>those four recessions there had been a chorus of soft

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<v Speaker 5>lending optimism. So you could actually look up the word

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<v Speaker 5>soft lending across news headline and it's very clear that

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<v Speaker 5>that's the trend. And so in that piece we ask

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<v Speaker 5>what is the reason for why soft landing hopes always

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<v Speaker 5>peak right before recession? I think I think there are

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<v Speaker 5>a couple of reasons. Number one is that economists forecasting

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<v Speaker 5>tools tend to depend on linear relationships. Unfortunately, unemployment does

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<v Speaker 5>not follow a linear distribution data generation process. In fact,

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<v Speaker 5>during recessions, unemployment tends to jump on a non linear

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<v Speaker 5>in a non linear way. So as a result, when

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<v Speaker 5>people think linearly, the mean forecast would suggest that unemployment

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<v Speaker 5>rate would only you know, slightly rise to three point

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<v Speaker 5>nine percent by the end of this year. And that

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<v Speaker 5>might be the number that the Fed officials, the median

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<v Speaker 5>participant to write it, would write in in the updated

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<v Speaker 5>SEP tomorrow, three point nine percent unemployment by the end

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<v Speaker 5>of this year. That is entirely consistent with a linear

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<v Speaker 5>way of thinking about the world. But if you think

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<v Speaker 5>about the risk, and we calculated the risk around that

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<v Speaker 5>mean forecast using historical data, in fact, it shows you

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<v Speaker 5>that the upside risk for unemployment is actually much much

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<v Speaker 5>bigger than the downside risk to unemployment. So this is

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<v Speaker 5>why we think overall that there's still substantial risk of

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<v Speaker 5>a recession before the.

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<v Speaker 6>End of the year.

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<v Speaker 3>Doctor Snaky way in on that, do you think do

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<v Speaker 3>you agree with in along that there's substantial risk of

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<v Speaker 3>a US recession by the end of the year.

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<v Speaker 4>Well, I certainly agree with annas Research and Analytics on this,

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<v Speaker 4>and yes, there is a risk of recession before the

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<v Speaker 4>end of the year. I happen to think that it's

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<v Speaker 4>more likely to bleed into twenty twenty four than necessarily

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<v Speaker 4>show up here. But there are a lot I mean,

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<v Speaker 4>we know that there's a lot of things that are

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<v Speaker 4>going to be happening in October and November that could

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<v Speaker 4>very quickly push consumers spending down. Other things on the

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<v Speaker 4>trade front, business and certainly tim as you mentioned, the

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<v Speaker 4>high the record high tenure treasury, how does that affect

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<v Speaker 4>the psychology of business investing and so several things could

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<v Speaker 4>all of a sudden start to spook decision makers and

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<v Speaker 4>we end up with not only a weakening but even

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<v Speaker 4>possibly a negative GDP growth by the end of the

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<v Speaker 4>fourth quarter. The other thing is is money supply has

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<v Speaker 4>been in a negative growth period for now over a year,

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<v Speaker 4>and historically that correlates very highly with recession. That would

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<v Speaker 4>if you sort of try to time it out, I'll

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<v Speaker 4>look more into early twenty twenty four than at the

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<v Speaker 4>end of twenty twenty three. But even that historically has

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<v Speaker 4>not been a tightly timed at eighteen months. So that's

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<v Speaker 4>another factor out there that we don't talk about very much,

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<v Speaker 4>but still a very real factor in how this thing

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<v Speaker 4>could turn quickly.

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<v Speaker 3>So doctor Wong, tell us how you think the FED

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<v Speaker 3>is going to handle I don't know, talking about the

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<v Speaker 3>uncertainties that have come up over the last few months here,

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<v Speaker 3>the fact that the tenure has risen so much, the

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<v Speaker 3>concerns that you raised about unemployment. Talk to me about

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<v Speaker 3>how you think the FED deals with this with regard

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<v Speaker 3>to how it's thinking about its interest rate path and

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<v Speaker 3>potentially cutting in twenty four.

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<v Speaker 5>Yeah, so you know, Chairman Powell has already told us

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<v Speaker 5>very clearly how he deals with uncertainty. At the Jackson

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<v Speaker 5>Whole speech, he said that when there's uncertainty and when

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<v Speaker 5>there are still some lack of monetary policy operating in

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<v Speaker 5>the background, he would move slowly. And uncertainty is what

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<v Speaker 5>we are going to have in the next couple of months.

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<v Speaker 5>As Steve said, we have you know ua w strike

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<v Speaker 5>ongoing right now, We still have that Hollywood strike. We

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<v Speaker 5>have a potential government shut down looming that if it

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<v Speaker 5>lasts for a month, we expect that it will raise

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<v Speaker 5>unemployment rate by point two percentage point and at which

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<v Speaker 5>point the psalm's rule for kickstarting a recession would be triggered.

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<v Speaker 5>So I think that Powell would definitely perceive all these

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<v Speaker 5>risks as telling him that they should wait for more information.

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<v Speaker 5>So I think it's unlikely that the Fed will race

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<v Speaker 5>rate in November. However, it might be that he would

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<v Speaker 5>be holding out the door open for December hips or

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<v Speaker 5>even January.

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<v Speaker 3>January hike, a January hike. So much of our conversation

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<v Speaker 3>over the last few weeks it's focused on November. Doctor

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<v Speaker 3>Skankey is, what's your impression here do you think we'll

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<v Speaker 3>see a Well?

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<v Speaker 4>I agree with what Anna said. I don't think that

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<v Speaker 4>the Fed is going to raise rates when they announced tomorrow,

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<v Speaker 4>but I do think that Cherah Powell will qualify the

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<v Speaker 4>decision not to raise rates indus remarks by saying something

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<v Speaker 4>like rate hikes can resume if needed. I think the

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<v Speaker 4>hold will will also have some other hawkish elements or

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<v Speaker 4>hawkish connotations. In the dot plot, they might even show

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<v Speaker 4>the possibility of another rate hike, if not in November

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<v Speaker 4>in December, could happen early in January. So the dot

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<v Speaker 4>plot and the updated Summary of Economic Projections will be

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<v Speaker 4>important and very interesting, for example, to see if they

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<v Speaker 4>ratify the notion that the GDP is still growing steadily,

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<v Speaker 4>albeit maybe a little bit weaker than the two percent

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<v Speaker 4>path that we're on right now. And how do they

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<v Speaker 4>factor in higher oil prices when they look at PCE inflation.

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<v Speaker 4>And what do they say about unemployment. Yes, again as

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<v Speaker 4>Ada said, unemployment does not increase linearly, and they've they've

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<v Speaker 4>been more hawkey shot that. So it'll be very interesting

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<v Speaker 4>what we see in the doc lot and the SEP

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<v Speaker 4>will probably be way more interesting than what they say

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<v Speaker 4>about not raising rates.

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<v Speaker 3>Oh interesting, I mean, I'm looking forward to the sep

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<v Speaker 3>but also of course the press conference as well. Doctor Wong,

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<v Speaker 3>tell us if you have one, if you could ask

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<v Speaker 3>J Powell one question tomorrow, what would it be?

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<v Speaker 5>I would ask him whether he thinks that the strikes

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<v Speaker 5>is suggesting that maybe inflation expectations are not as anchored

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<v Speaker 5>as it seemed. I mean, we've already seen central bank

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<v Speaker 5>officials in other countries, such as Reserve Bank of Australia,

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<v Speaker 5>suggesting that inflation the expectations may not be anchored, given

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<v Speaker 5>that union workers are able to demand higher wages, and

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<v Speaker 5>we're seeing exactly that happening in the US.

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<v Speaker 3>How do oil prices and gas prices factor into inflation expectations?

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<v Speaker 5>Anna, Well, that's it's like a chicken and egg problem

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<v Speaker 5>from the FEDS perspective. If they believe that inflation expectations

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<v Speaker 5>are anchored, they will look through the increase in oil prices.

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<v Speaker 5>But if they don't believe that it's very anchored, they

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<v Speaker 5>won't look through it. So I think the inflation expectations

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<v Speaker 5>question is really the core of what they will do.

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<v Speaker 3>Doctor Skanky ten seconds. One question that you would ask

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<v Speaker 3>J Powell tomorrow?

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<v Speaker 4>What's the corrector point for deciding that the rights need

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<v Speaker 4>to be increased again either in November or December.

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<v Speaker 3>All right, there, It is really appreciate both of you

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<v Speaker 3>joining us this afternoon, the eve before we hear from

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<v Speaker 3>FED Chair J Powell tomorrow. That's doctor Stephen Skanky, chief

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<v Speaker 3>economic advisor at keep Point, former US Treasury and White

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<v Speaker 3>House National Sercity Security Accounts staff member. Also doctor Anna Wong,

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<v Speaker 3>chief you has economist for Bloomberg Economics.

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<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

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<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

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<v Speaker 6>His next voice is going to sound familiar because we

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<v Speaker 6>caught up with him at the Milkin Institute Global Conference

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<v Speaker 6>earlier this year. So great to have back with us

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<v Speaker 6>in studio. Hans Kobler. He's found her managing partner of

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<v Speaker 6>Energy Impact Partners. They have about three billion in assets

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<v Speaker 6>under management. They invest in clean energy technologies and they

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<v Speaker 6>help deploy them through partnerships with companies trying to decarbonize.

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<v Speaker 6>He is in town for Climate Week, and as I said,

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<v Speaker 6>he's here in our Bloomberg Interactive broker student. Nice to

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<v Speaker 6>have you here with him and myself being here. Welcome back.

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<v Speaker 6>Come on close to the mike because you want to

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<v Speaker 6>make sure we can hear you. The energy transition. Let's

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<v Speaker 6>start basic. How's it going.

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<v Speaker 7>It's going well, it's picking up momentum. We had the

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<v Speaker 7>first year in history that more money will spend on

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<v Speaker 7>energy transitioning on traditional energy one point one trillion. So

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<v Speaker 7>the momentum is building a tipping point. It's a tipping point,

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<v Speaker 7>it's but it's the beginning. It's the first inning of

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<v Speaker 7>a long, long race. You know, if you believe McKinsey

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<v Speaker 7>and some forecasts, we will need eight nine trillion dollars

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<v Speaker 7>a year one hundred and fifty trillion. That's fifteen internets

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<v Speaker 7>or one and a half times the global economy spend

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<v Speaker 7>therever the next few decades. That's a lot, and we

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<v Speaker 7>may or we may not get there, but we are

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<v Speaker 7>taking it serious.

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<v Speaker 8>So it's picking up momentum.

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<v Speaker 3>One thing that I think about when it comes to

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<v Speaker 3>the energy transition is the role of nuclear power. And

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<v Speaker 3>here in the US, it's a really checkered history, it's

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<v Speaker 3>a really checkered past. It's very expensive for us to

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<v Speaker 3>build nuclear power plants. They're always cost overruns, and then

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<v Speaker 3>you have the legacy of Fukushima three Mile Island in Chernobyl.

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<v Speaker 3>What are your thoughts on nuclear?

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<v Speaker 7>I think so we have a lot of corporate partners

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<v Speaker 7>in our investor group. The Southern Company was the last

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<v Speaker 7>one here to try to build a nuclear panther. They

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<v Speaker 7>finally got them all online, which is right. We have

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<v Speaker 7>ed f as an investor that had fifty five in

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<v Speaker 7>the country running and half of them didn't work when

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<v Speaker 7>they when they shut down. The Russian gas and Tepco

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<v Speaker 7>was an investor too, so nuclear. You know, the clean

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<v Speaker 7>energy transition is amazing, and a lot will be wind

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<v Speaker 7>and solar, but you need the baseload and nuclear is

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<v Speaker 7>still the best way to get to the baseload. So

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<v Speaker 7>I think it's critical to keep that in the Arsenal

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<v Speaker 7>and from Germany originally, I mean you can tell tell

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<v Speaker 7>the accent. You know, the probably the greenest country that

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<v Speaker 7>has most ambitions to go clean. They spend the tonne

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<v Speaker 7>and they shut down, which is a stupid thing to do.

0:13:40.600 --> 0:13:43.280
<v Speaker 3>It's I mean, is this reversible.

0:13:43.880 --> 0:13:45.640
<v Speaker 8>Yeah, but it's hard. It's hard.

0:13:45.640 --> 0:13:47.880
<v Speaker 7>Once you shut down an industry, you have to build

0:13:47.960 --> 0:13:52.480
<v Speaker 7>up the talent to build new to build new nuclear plants.

0:13:52.520 --> 0:13:55.560
<v Speaker 3>You can, but I guess can we transition to net

0:13:55.640 --> 0:13:56.559
<v Speaker 3>zero without nuclear?

0:13:57.080 --> 0:13:57.440
<v Speaker 9>Crucial?

0:13:57.520 --> 0:13:58.400
<v Speaker 8>Is it hard?

0:13:58.720 --> 0:14:03.120
<v Speaker 7>The transition to net zero is not only converting what

0:14:03.200 --> 0:14:06.600
<v Speaker 7>we have today, but to deal with the demand that

0:14:06.640 --> 0:14:09.960
<v Speaker 7>we are facing. We have had a flat demand curve

0:14:10.000 --> 0:14:14.719
<v Speaker 7>in this country for twenty years. We are now electrifying transportation.

0:14:15.200 --> 0:14:19.200
<v Speaker 7>We're building data centers running on AI where one Google search,

0:14:20.400 --> 0:14:22.760
<v Speaker 7>where one AI search is taking about fifty to two

0:14:22.800 --> 0:14:27.200
<v Speaker 7>hundred times more power than a Google search. So you're

0:14:27.240 --> 0:14:30.840
<v Speaker 7>talking about doubling the infrastructure that you've built over one

0:14:30.920 --> 0:14:33.720
<v Speaker 7>hundred years. You know, Musk is out there saying no, no, no,

0:14:34.040 --> 0:14:36.120
<v Speaker 7>whatever you are calculated, it's going to be tripled. So

0:14:36.320 --> 0:14:38.800
<v Speaker 7>you need a lot of electrons and so there is

0:14:38.840 --> 0:14:40.960
<v Speaker 7>not one solution for that. That means we have to

0:14:41.800 --> 0:14:44.880
<v Speaker 7>use different tools in the toolkit to get there and

0:14:44.920 --> 0:14:46.400
<v Speaker 7>get there a lot faster than we have been.

0:14:47.320 --> 0:14:52.360
<v Speaker 6>But can we do it this energy transformation without nuclear?

0:14:54.320 --> 0:14:56.320
<v Speaker 7>Yes, but I think it would be a lot cheaper

0:14:56.520 --> 0:14:58.520
<v Speaker 7>if it did it with nuclear. And at the end

0:14:58.560 --> 0:15:00.720
<v Speaker 7>of the day, we have to address something that we

0:15:00.840 --> 0:15:03.800
<v Speaker 7>call in the industry trilemma. Everyone wants to go clean,

0:15:04.400 --> 0:15:09.120
<v Speaker 7>but when you face not having power at all, security

0:15:09.160 --> 0:15:14.080
<v Speaker 7>reliability gets on the horizon. And when the Germans pay

0:15:14.160 --> 0:15:17.280
<v Speaker 7>twelve times more for natural gas than the Americans and

0:15:17.280 --> 0:15:19.880
<v Speaker 7>four times more for electricity, then affordability comes in right.

0:15:19.920 --> 0:15:23.880
<v Speaker 7>So that's an equation. This trilemma is an equation very difficult.

0:15:23.600 --> 0:15:26.560
<v Speaker 3>But also motivation perhaps to invest in renewable sources that

0:15:26.680 --> 0:15:28.000
<v Speaker 3>in the long run are less expensive.

0:15:28.080 --> 0:15:30.640
<v Speaker 7>Absolutely, but in a way in our view, the only

0:15:30.680 --> 0:15:33.840
<v Speaker 7>way to solve that equation of this trilemma is to

0:15:33.920 --> 0:15:37.880
<v Speaker 7>really to apply innovation. That means you need new technologies,

0:15:37.920 --> 0:15:41.080
<v Speaker 7>great technologies, and you need to collaborate.

0:15:41.160 --> 0:15:41.640
<v Speaker 8>You need to.

0:15:41.840 --> 0:15:47.400
<v Speaker 7>Involve the incumbents. The existing infrastructure sits on, sit on

0:15:47.480 --> 0:15:50.400
<v Speaker 7>trillions of dollars of investments that we have to help

0:15:50.480 --> 0:15:52.440
<v Speaker 7>them get there faster. That's by the way, it's a

0:15:52.440 --> 0:15:54.480
<v Speaker 7>business model that we have where we team up with

0:15:54.600 --> 0:15:58.040
<v Speaker 7>corporates and bring them together in a room with the

0:15:58.040 --> 0:16:00.840
<v Speaker 7>innovators and the capital to forge the alliance is to

0:16:00.880 --> 0:16:06.080
<v Speaker 7>accelerate that transition. It's look, everybody wants to see the

0:16:06.160 --> 0:16:08.480
<v Speaker 7>rosy sky, but you've got to be pragmatic about it,

0:16:08.800 --> 0:16:11.040
<v Speaker 7>and that means. That means we got to work together

0:16:11.480 --> 0:16:13.960
<v Speaker 7>and work faster and harder than we have in the past.

0:16:14.040 --> 0:16:16.880
<v Speaker 6>So when you have those conversations and those collaborations, what

0:16:17.080 --> 0:16:20.640
<v Speaker 6>is it that you speak most about? Tim brought up nuclear, right,

0:16:20.680 --> 0:16:22.400
<v Speaker 6>and we feel like it has become such a no, no,

0:16:22.960 --> 0:16:25.480
<v Speaker 6>it is it nuclear? Is it hydro? Is it solar?

0:16:25.640 --> 0:16:27.800
<v Speaker 6>Is it? Like? What is it that people that you

0:16:27.840 --> 0:16:29.920
<v Speaker 6>guys spend a lot of time talking about with your oartners?

0:16:30.120 --> 0:16:30.520
<v Speaker 8>Yeah?

0:16:30.600 --> 0:16:34.480
<v Speaker 7>Yes, yeah, yeah, yes. So it is a complex undertaking.

0:16:34.520 --> 0:16:37.280
<v Speaker 7>We need to decarbonize supply, We need to create a

0:16:37.360 --> 0:16:39.840
<v Speaker 7>lot more supplies. So that's one folks there. The second

0:16:39.880 --> 0:16:43.280
<v Speaker 7>one is we need to create sustainable demand. That means

0:16:43.280 --> 0:16:48.160
<v Speaker 7>electrifying a lot of the industries, from transportation to home heating,

0:16:48.360 --> 0:16:51.600
<v Speaker 7>to the data centers, indoor agriculture. And then you have

0:16:51.680 --> 0:16:54.400
<v Speaker 7>to deal with the high intermittency you create. So I

0:16:54.400 --> 0:16:57.000
<v Speaker 7>was just telling you it's two to three times more

0:16:57.160 --> 0:17:00.200
<v Speaker 7>power that we need, but at its peak it could

0:17:00.200 --> 0:17:02.160
<v Speaker 7>be five times as much. You know, it's like building

0:17:02.280 --> 0:17:05.320
<v Speaker 7>a church for Easter Sunday, and we've got to somehow

0:17:05.320 --> 0:17:07.679
<v Speaker 7>we have to balance that, and that means you have

0:17:07.720 --> 0:17:10.320
<v Speaker 7>to invest in transmission distribution, which is very difficult.

0:17:10.440 --> 0:17:10.600
<v Speaker 8>Right.

0:17:10.680 --> 0:17:13.400
<v Speaker 7>It took fifteen years to get the clean electrons from

0:17:13.480 --> 0:17:16.000
<v Speaker 7>Canada through two of the greenest states to New York.

0:17:16.040 --> 0:17:19.320
<v Speaker 7>Because nobody wants to build anything in their backyard. You

0:17:19.400 --> 0:17:21.560
<v Speaker 7>build storage, and great technologies are coming up. You an

0:17:21.560 --> 0:17:23.679
<v Speaker 7>investor in form, you investor in power and so. But

0:17:23.760 --> 0:17:27.000
<v Speaker 7>that's a lot of space that is needed. Takes some time.

0:17:27.640 --> 0:17:32.199
<v Speaker 7>Or you digitize the communication between the customer and the

0:17:32.280 --> 0:17:34.399
<v Speaker 7>supply and you tell them, look, don't charge your car

0:17:34.440 --> 0:17:35.760
<v Speaker 7>at six o'clock to it at midnight.

0:17:36.240 --> 0:17:41.000
<v Speaker 8>It turned down. It's nice years. Just don't cool right

0:17:41.040 --> 0:17:42.280
<v Speaker 8>now because everybody's cooling.

0:17:42.359 --> 0:17:44.640
<v Speaker 6>Can I ask you, with only about thirty seconds left here,

0:17:44.720 --> 0:17:48.760
<v Speaker 6>would you invest in a fossil fuel energy company? No,

0:17:48.800 --> 0:17:52.240
<v Speaker 6>oil and gas company? No, you wouldn't anymore. No, even

0:17:52.240 --> 0:17:52.840
<v Speaker 6>though it's going to.

0:17:52.760 --> 0:17:54.439
<v Speaker 8>Be doing for some people.

0:17:54.480 --> 0:17:57.280
<v Speaker 7>You know, look, we need certainly natural gas form.

0:17:57.400 --> 0:17:58.840
<v Speaker 6>I know you're kind of talking your book because that's.

0:17:58.720 --> 0:18:01.320
<v Speaker 7>The way we need natural gas a long long time, okay,

0:18:01.560 --> 0:18:04.440
<v Speaker 7>But we personally would not invest. We are fun focused

0:18:04.480 --> 0:18:07.919
<v Speaker 7>on you know, we are Article nine fund. We invest

0:18:08.000 --> 0:18:09.840
<v Speaker 7>in things that decarbonize the globally.

0:18:10.040 --> 0:18:10.960
<v Speaker 6>But if you weren't would you.

0:18:11.760 --> 0:18:13.679
<v Speaker 8>If I was a financial bssit would okay?

0:18:13.920 --> 0:18:17.159
<v Speaker 6>All right? Love having you come here, always provocative. I

0:18:17.200 --> 0:18:20.320
<v Speaker 6>always learned something. Come back soon, yeah, Hans Kobbler, he's founding.

0:18:20.320 --> 0:18:23.040
<v Speaker 6>Do you took a founder managing partner Energy Impact Partners?

0:18:23.040 --> 0:18:27.920
<v Speaker 10>Here in our studio, you're listening to the Bloomberg Business

0:18:27.920 --> 0:18:28.800
<v Speaker 10>Week podcast.

0:18:29.040 --> 0:18:32.120
<v Speaker 1>Catch us live weekday afternoons from three to six Easter

0:18:32.440 --> 0:18:36.199
<v Speaker 1>on Bloomberg Radio, the Bloomberg Business App, and YouTube. You

0:18:36.240 --> 0:18:39.480
<v Speaker 1>can also listen live on Amazon Alexa from our flagship

0:18:39.560 --> 0:18:43.440
<v Speaker 1>New York station Just Say Alexa playing Bloomberg eleven.

0:18:43.160 --> 0:18:47.720
<v Speaker 6>Thirty Climate Week in New York against the backdrop of

0:18:47.760 --> 0:18:50.000
<v Speaker 6>the seventy eighth session of the You in General Assembly.

0:18:50.080 --> 0:18:52.120
<v Speaker 6>You know that we've been talking about it.

0:18:52.440 --> 0:18:53.040
<v Speaker 2>They have.

0:18:53.359 --> 0:18:57.840
<v Speaker 6>The UN has identified seventeen specific SDG sustainable Development goals,

0:18:58.040 --> 0:19:01.400
<v Speaker 6>including building out resilient technology infrastructure. And to get there

0:19:01.520 --> 0:19:04.520
<v Speaker 6>and reach some of those seventeen SDGs, the UN has

0:19:04.560 --> 0:19:08.680
<v Speaker 6>highlighted high impact initiatives, among them unlocking the data dividend,

0:19:08.880 --> 0:19:11.800
<v Speaker 6>which our next guest participated in an event that happened

0:19:12.320 --> 0:19:15.040
<v Speaker 6>here this week with us is Johannes uting Am. I

0:19:15.080 --> 0:19:19.359
<v Speaker 6>saying it right, perfect Okay, he's being kind, but he's

0:19:19.400 --> 0:19:21.879
<v Speaker 6>executive head of the Partnership in Statistics for Development in

0:19:21.920 --> 0:19:25.359
<v Speaker 6>the twenty first Century. The acronym is Paris twenty one,

0:19:25.480 --> 0:19:28.239
<v Speaker 6>which is hosted by the OCD in Paris. I have

0:19:28.280 --> 0:19:30.960
<v Speaker 6>to say that Johanna's former member of the UN Secretary

0:19:31.359 --> 0:19:35.760
<v Speaker 6>General's Expert Group on the Data Revolution. He's a development economist,

0:19:35.800 --> 0:19:39.040
<v Speaker 6>expertise and employment, social protection, healthcare, financing and gender. He's

0:19:39.080 --> 0:19:40.880
<v Speaker 6>looked at the world in a lot of different ways

0:19:40.920 --> 0:19:42.880
<v Speaker 6>and we were delighted to have him here in our

0:19:43.000 --> 0:19:44.639
<v Speaker 6>Bloomberg Interactive Brokers studio.

0:19:44.720 --> 0:19:47.159
<v Speaker 2>Welcome, Welcome, Thank you very much for inviting me.

0:19:47.280 --> 0:19:49.360
<v Speaker 6>Well, thank you. And I've learned about Paris twenty one

0:19:49.359 --> 0:19:52.080
<v Speaker 6>because my daughter has done an internship with you all

0:19:52.119 --> 0:19:54.640
<v Speaker 6>this summer. So full transparency, but I've learned a lot.

0:19:54.720 --> 0:19:56.920
<v Speaker 6>Tell us though, in your words, your mission and your goals,

0:19:56.960 --> 0:19:57.959
<v Speaker 6>what you guys are all about.

0:19:58.520 --> 0:20:02.280
<v Speaker 10>Paris tonty one stands for Partnership in Statistics in Development

0:20:02.359 --> 0:20:06.040
<v Speaker 10>for the twenty first Century. We basically do three things.

0:20:06.160 --> 0:20:11.240
<v Speaker 10>We help countries with technical capacity development national statistical offices,

0:20:11.680 --> 0:20:15.960
<v Speaker 10>so we help training of managers in statistical offices in

0:20:16.000 --> 0:20:20.360
<v Speaker 10>poor countries like Wanda and others. So we organize trainings,

0:20:20.720 --> 0:20:24.080
<v Speaker 10>We help with coordination in many parts of when you

0:20:24.200 --> 0:20:28.080
<v Speaker 10>produce data, there are many ministries involved, there are development

0:20:28.119 --> 0:20:32.159
<v Speaker 10>agencies involved, and we help them with to get coordinated.

0:20:32.680 --> 0:20:34.440
<v Speaker 2>And last but not least, we do advocacy.

0:20:34.480 --> 0:20:38.240
<v Speaker 10>And you just mentioned the UNGA week, the SDG summit,

0:20:38.800 --> 0:20:41.600
<v Speaker 10>and we do advocacy for more and better funding for

0:20:41.720 --> 0:20:42.760
<v Speaker 10>data and statistics.

0:20:42.880 --> 0:20:45.160
<v Speaker 6>Well, what's interesting in a world that's overrun with data

0:20:45.160 --> 0:20:48.280
<v Speaker 6>we just assume it's good. We don't say it's good.

0:20:48.320 --> 0:20:51.720
<v Speaker 6>We talk about biased data and kind of dirty data,

0:20:51.800 --> 0:20:54.679
<v Speaker 6>not great data. But not all data is good, not

0:20:54.760 --> 0:20:58.639
<v Speaker 6>all data is productive or useful, right, And so you

0:20:58.680 --> 0:21:02.879
<v Speaker 6>guys are involved in that helping countries develop infrastructure so

0:21:02.880 --> 0:21:05.680
<v Speaker 6>that they can actually accumulate their own data sets.

0:21:05.680 --> 0:21:07.560
<v Speaker 2>Correct, absolutely correct.

0:21:07.600 --> 0:21:10.480
<v Speaker 10>I think what is a bit difficult sometimes to understand is,

0:21:10.520 --> 0:21:12.280
<v Speaker 10>on the one hand, we have a data tsunami. We

0:21:12.320 --> 0:21:16.080
<v Speaker 10>have all these data digital data, which is very good,

0:21:16.080 --> 0:21:20.600
<v Speaker 10>which is feeding artificial intelligence and innovation. On the other hand,

0:21:20.720 --> 0:21:24.240
<v Speaker 10>we have and on the other hand we have data gaps,

0:21:24.600 --> 0:21:27.240
<v Speaker 10>terrible data gaps, and in some countries we don't even

0:21:27.280 --> 0:21:29.720
<v Speaker 10>know of how many people in a country are living.

0:21:30.000 --> 0:21:34.360
<v Speaker 10>We have difficulties to measure burst rates and to register

0:21:34.440 --> 0:21:35.000
<v Speaker 10>those people.

0:21:35.440 --> 0:21:37.959
<v Speaker 2>We have a lot of data gaps in the SDGs.

0:21:38.080 --> 0:21:42.080
<v Speaker 10>We in particular on climate change or gender equality. We

0:21:42.119 --> 0:21:46.120
<v Speaker 10>are literally flying blind. So we are supporting as Paras

0:21:46.119 --> 0:21:49.800
<v Speaker 10>twenty one with our partners to close those data gaps,

0:21:49.960 --> 0:21:53.399
<v Speaker 10>to be able to do better decisions, but also to

0:21:53.480 --> 0:21:56.280
<v Speaker 10>hold our governments accountable. I think that's also a very

0:21:56.280 --> 0:21:59.480
<v Speaker 10>important aspect of this. So that if you say you

0:21:59.520 --> 0:22:01.800
<v Speaker 10>want to read use poverty in a given country by

0:22:01.840 --> 0:22:04.439
<v Speaker 10>six percent, you want to have the start point and

0:22:04.480 --> 0:22:06.280
<v Speaker 10>the endpoint, and you want to see if this is

0:22:06.320 --> 0:22:06.760
<v Speaker 10>on track.

0:22:07.040 --> 0:22:09.920
<v Speaker 3>We've talked a lot this year about AI and the

0:22:09.960 --> 0:22:12.840
<v Speaker 3>impact that AI is having on companies whose stocks are

0:22:12.840 --> 0:22:15.640
<v Speaker 3>publicly traded. What about when it comes to your work

0:22:15.680 --> 0:22:17.639
<v Speaker 3>and how you can use AI to make sense of

0:22:17.640 --> 0:22:20.840
<v Speaker 3>this data and help these poorer countries actually make positive change?

0:22:20.920 --> 0:22:21.520
<v Speaker 3>Are you using it?

0:22:21.920 --> 0:22:23.080
<v Speaker 2>An excellent question?

0:22:23.160 --> 0:22:25.160
<v Speaker 10>I mean, what we see is that there are two

0:22:25.320 --> 0:22:27.440
<v Speaker 10>I mean, we often talk about silos, right, I mean,

0:22:27.440 --> 0:22:29.960
<v Speaker 10>and this is a real siite of On the one hand,

0:22:30.000 --> 0:22:32.159
<v Speaker 10>we have people talking about the data that you were

0:22:32.240 --> 0:22:36.560
<v Speaker 10>just mentioning feeding into the algorithms and that supporting these

0:22:36.600 --> 0:22:39.439
<v Speaker 10>AI driven innovation. And on the other hand, we have

0:22:39.560 --> 0:22:42.960
<v Speaker 10>data for development, which is an owned space by itself,

0:22:43.000 --> 0:22:44.480
<v Speaker 10>and there is not enough crossover.

0:22:44.560 --> 0:22:45.840
<v Speaker 2>If you look at the G.

0:22:45.880 --> 0:22:48.480
<v Speaker 10>Twenty statement at the last one, there is a working

0:22:48.480 --> 0:22:51.080
<v Speaker 10>group on Data for development and there's a working group

0:22:51.119 --> 0:22:54.359
<v Speaker 10>on digital data. So there is yet not enough overlap.

0:22:54.800 --> 0:22:59.359
<v Speaker 10>I think it's about to close. And artificial intelligent for

0:22:59.440 --> 0:23:02.240
<v Speaker 10>the public good is of course very important, but also

0:23:02.280 --> 0:23:05.760
<v Speaker 10>the quality of the data that you feed into it

0:23:04.840 --> 0:23:06.639
<v Speaker 10>is essential.

0:23:06.840 --> 0:23:08.720
<v Speaker 2>Garbage in, garbage out exactly.

0:23:08.800 --> 0:23:12.800
<v Speaker 10>So the quality of the data to help countries produce

0:23:14.080 --> 0:23:19.040
<v Speaker 10>verified quality statistics even is very essential and often unfortunately

0:23:19.760 --> 0:23:20.720
<v Speaker 10>not in the spotlight.

0:23:20.760 --> 0:23:23.359
<v Speaker 6>Well, you can't have transformative I'm stealing words from you guys,

0:23:23.359 --> 0:23:25.639
<v Speaker 6>by transformative policy without transformative data.

0:23:25.640 --> 0:23:27.159
<v Speaker 2>Correct, absolutely correct.

0:23:27.200 --> 0:23:30.239
<v Speaker 6>Yeah, well, and I'm curious about you know, in a

0:23:30.280 --> 0:23:32.800
<v Speaker 6>world where there's lots of stress points, I'm thinking, you know,

0:23:32.840 --> 0:23:35.560
<v Speaker 6>the hottest world, you're right, hottest temperatures on record, So

0:23:35.600 --> 0:23:37.160
<v Speaker 6>there's a lot going you know, a lot of focus

0:23:37.240 --> 0:23:41.000
<v Speaker 6>on climate, but investment in infrastructure systems so that the

0:23:41.080 --> 0:23:43.679
<v Speaker 6>data collection is better. How tough is that to get

0:23:44.040 --> 0:23:45.520
<v Speaker 6>the money going where it needs to go.

0:23:46.320 --> 0:23:49.760
<v Speaker 10>That's unfortunately it is a very very difficult exercise. So

0:23:49.800 --> 0:23:53.399
<v Speaker 10>we currently spend around six seven hundred million on data

0:23:53.440 --> 0:23:58.280
<v Speaker 10>and statistics from Official Development eight ODA eight and this

0:23:58.480 --> 0:24:00.800
<v Speaker 10>is less than a percentage point since here. So we

0:24:00.840 --> 0:24:04.439
<v Speaker 10>would need to ramp up significantly the international support for.

0:24:04.480 --> 0:24:05.560
<v Speaker 2>Data and statistics.

0:24:05.960 --> 0:24:09.320
<v Speaker 10>But we also need to convince countries to invest part

0:24:09.359 --> 0:24:13.240
<v Speaker 10>of their taxpayers' money domestic resources into it and the payoff.

0:24:13.280 --> 0:24:15.360
<v Speaker 10>I mean, the thing is if I invest into a hospital,

0:24:15.400 --> 0:24:17.240
<v Speaker 10>if you're a minister, what would you do? Would you

0:24:17.280 --> 0:24:20.480
<v Speaker 10>invest in a hospital, or in vaccination or education or

0:24:20.520 --> 0:24:23.280
<v Speaker 10>would you invest in a national statistical office? We're probably

0:24:23.359 --> 0:24:25.280
<v Speaker 10>the first, yeah, because then you can show after two

0:24:25.400 --> 0:24:29.359
<v Speaker 10>three years is done. These benefits for investment in national

0:24:29.359 --> 0:24:33.000
<v Speaker 10>statistical systems will only take time. The benefit will take

0:24:33.040 --> 0:24:35.960
<v Speaker 10>time ten fifteen years later. They feed into everything else.

0:24:36.119 --> 0:24:37.760
<v Speaker 3>Sell us on it. You know, if you're trying to

0:24:37.800 --> 0:24:39.600
<v Speaker 3>sell a minister on making this investment, how do you

0:24:39.600 --> 0:24:39.840
<v Speaker 3>do it?

0:24:39.880 --> 0:24:42.240
<v Speaker 6>What's the cost by not making those investments.

0:24:42.600 --> 0:24:45.000
<v Speaker 10>What we say is if you want to have I mean,

0:24:45.040 --> 0:24:47.960
<v Speaker 10>for instance, economic growth, I mean it's very critical to

0:24:48.000 --> 0:24:51.960
<v Speaker 10>have very good understanding about key economic indicators right, and

0:24:52.040 --> 0:24:55.840
<v Speaker 10>if those are not sort of measured in your country,

0:24:55.840 --> 0:24:57.399
<v Speaker 10>you will not be able to, first off all, to

0:24:57.480 --> 0:25:00.600
<v Speaker 10>make very good decisions. You will not invest your public

0:25:00.640 --> 0:25:03.520
<v Speaker 10>resources very efficiently. You are not even able to tell

0:25:03.520 --> 0:25:06.440
<v Speaker 10>you if you do it or not. So in that sense,

0:25:06.480 --> 0:25:08.240
<v Speaker 10>we are not asking for a lot of money. It's

0:25:08.280 --> 0:25:11.439
<v Speaker 10>it's pe nuts. It's literally pe nuts, and there are

0:25:11.440 --> 0:25:13.520
<v Speaker 10>a lot of we have a lot of good tools

0:25:13.560 --> 0:25:17.280
<v Speaker 10>attend to help. So I think for a minister, and

0:25:17.320 --> 0:25:20.080
<v Speaker 10>many planning ministers actually know this and they are behind this.

0:25:20.720 --> 0:25:23.439
<v Speaker 10>It's sometimes just the politics behind, which is a bit difficult.

0:25:23.600 --> 0:25:27.040
<v Speaker 6>No politics, But what's interesting I think about the amount

0:25:27.040 --> 0:25:28.880
<v Speaker 6>of investment decisions that are made up of like all

0:25:28.920 --> 0:25:31.720
<v Speaker 6>of the US economic statistics or global statistics right in

0:25:31.720 --> 0:25:34.040
<v Speaker 6>the developed world. We've got about a minute and a

0:25:34.040 --> 0:25:37.639
<v Speaker 6>half left, Johanna's you know a lot of times a

0:25:37.680 --> 0:25:39.760
<v Speaker 6>little more. Sorry, okay, you know, it's been that kind

0:25:39.760 --> 0:25:42.200
<v Speaker 6>of crazy day. So I think about, like our audience

0:25:42.200 --> 0:25:46.040
<v Speaker 6>who's listening, a smart financial investment audience, what is it

0:25:46.280 --> 0:25:50.119
<v Speaker 6>that they need to understand about again the importance of

0:25:50.160 --> 0:25:53.560
<v Speaker 6>it and potentially the payoff. What's being missed by not

0:25:54.160 --> 0:25:57.280
<v Speaker 6>accurately having data on a lot of different countries.

0:25:57.440 --> 0:25:59.560
<v Speaker 10>I think we have to talk about the opportunities and

0:25:59.600 --> 0:26:01.960
<v Speaker 10>the opportunities we will have next.

0:26:01.840 --> 0:26:04.200
<v Speaker 2>Year in Meddelin or World Data Forum.

0:26:04.520 --> 0:26:08.639
<v Speaker 10>So all your listeners, your community is quarterly invited because

0:26:08.680 --> 0:26:11.520
<v Speaker 10>we are working more and more with the private sector,

0:26:11.560 --> 0:26:13.720
<v Speaker 10>of course with the big companies that have a lot

0:26:13.760 --> 0:26:15.760
<v Speaker 10>of data that makes those data. Also because we were

0:26:15.760 --> 0:26:19.159
<v Speaker 10>asking about AI, I will later today attend by Google

0:26:19.240 --> 0:26:21.920
<v Speaker 10>and I for public good. There are many other companies

0:26:21.960 --> 0:26:24.879
<v Speaker 10>who are actively engaging. I think they could do a

0:26:24.880 --> 0:26:27.159
<v Speaker 10>little bit more though, and also sees it as a

0:26:27.160 --> 0:26:30.400
<v Speaker 10>public good. So I think for the many of our

0:26:31.119 --> 0:26:34.200
<v Speaker 10>colleagues and partners from the private sector, I interested. So

0:26:34.400 --> 0:26:37.240
<v Speaker 10>are civil society organizations, by the way, and to bring

0:26:37.280 --> 0:26:38.760
<v Speaker 10>them together in multi.

0:26:38.440 --> 0:26:43.360
<v Speaker 2>Partnership, that's the partnership part is very important.

0:26:43.800 --> 0:26:46.040
<v Speaker 3>How can we make the data collection easier from the

0:26:46.080 --> 0:26:49.480
<v Speaker 3>perspective of these countries, And I'm thinking about public private

0:26:49.480 --> 0:26:52.119
<v Speaker 3>partnership specifically. I mean, think about the data that you

0:26:52.119 --> 0:26:55.960
<v Speaker 3>know a mobile phone company has about what somebody does

0:26:56.000 --> 0:26:58.199
<v Speaker 3>on their phone, transactions that they make. I mean, you

0:26:58.240 --> 0:27:00.960
<v Speaker 3>can you can get really granular information that can tell

0:27:01.000 --> 0:27:04.280
<v Speaker 3>stories about an economy, what's the role of a private

0:27:04.280 --> 0:27:07.240
<v Speaker 3>company and in working with the government to provide that data,

0:27:07.240 --> 0:27:08.840
<v Speaker 3>because there are some privacy concerns too.

0:27:09.880 --> 0:27:12.240
<v Speaker 10>It's on point exactly how you say. On the one hand,

0:27:12.280 --> 0:27:14.800
<v Speaker 10>I mean, we call this public private partnership, and there

0:27:14.800 --> 0:27:18.720
<v Speaker 10>are some really very nice public private partnership out there

0:27:18.720 --> 0:27:24.080
<v Speaker 10>where telephone companies share confidentially and secured the data. But

0:27:24.119 --> 0:27:26.000
<v Speaker 10>of course it's a business risk as well. I mean,

0:27:26.000 --> 0:27:28.320
<v Speaker 10>and you have to see what has happened to this

0:27:28.440 --> 0:27:30.840
<v Speaker 10>data and so on and so forth. But there are

0:27:30.880 --> 0:27:34.640
<v Speaker 10>some very good, promising examples of how what we call

0:27:34.720 --> 0:27:38.240
<v Speaker 10>big data, specifically on geospatial data is used, for instance,

0:27:38.280 --> 0:27:43.520
<v Speaker 10>on poverty mapping day and night satellite imagery, so you

0:27:43.560 --> 0:27:47.440
<v Speaker 10>can look at a given country and you can compare

0:27:48.000 --> 0:27:51.040
<v Speaker 10>the light nights, and you can compare it with a day,

0:27:51.160 --> 0:27:54.280
<v Speaker 10>and then you can make a sort of calculation do

0:27:54.320 --> 0:27:55.080
<v Speaker 10>these people.

0:27:54.840 --> 0:27:56.199
<v Speaker 2>Have light electricity or not?

0:27:56.240 --> 0:27:59.520
<v Speaker 10>And from this with other data, you can estimate hope

0:27:59.520 --> 0:28:01.919
<v Speaker 10>poor people are and you also know for your investors

0:28:02.040 --> 0:28:05.320
<v Speaker 10>where maybe you can put some infrastructure to solve this problem.

0:28:05.960 --> 0:28:07.959
<v Speaker 6>And that's what I was thinking about. It was interesting.

0:28:08.000 --> 0:28:12.040
<v Speaker 6>I was over at the earth Shot Prize Bloomberg Philanthropy's event,

0:28:12.119 --> 0:28:14.159
<v Speaker 6>and we talked with some of the finalists of the

0:28:14.200 --> 0:28:16.280
<v Speaker 6>earth Shot Prize and they've come up with different ways

0:28:16.320 --> 0:28:18.680
<v Speaker 6>to decarbonize the world. And one of the things, let's

0:28:18.680 --> 0:28:20.400
<v Speaker 6>talk about what you're doing, But then it's like, what's

0:28:20.440 --> 0:28:23.639
<v Speaker 6>the impact. Talk to us about some of either the

0:28:23.720 --> 0:28:27.040
<v Speaker 6>data sets that you have helped accumulate and what it

0:28:27.080 --> 0:28:29.040
<v Speaker 6>has led to if you give us some examples.

0:28:29.359 --> 0:28:31.840
<v Speaker 10>Of course, I mean we have been we do a

0:28:31.840 --> 0:28:34.040
<v Speaker 10>lot of country work and in specific the one area

0:28:34.080 --> 0:28:35.719
<v Speaker 10>which is very important, it's on gender.

0:28:36.280 --> 0:28:37.760
<v Speaker 2>So in some parts of this.

0:28:37.800 --> 0:28:42.960
<v Speaker 10>World, I mean through our support in the Malidivs in Colombia,

0:28:43.120 --> 0:28:47.040
<v Speaker 10>in Africa, in many countries we have no more sex

0:28:47.080 --> 0:28:51.360
<v Speaker 10>disaggregated data, which is fantastic for many different purposes.

0:28:51.440 --> 0:28:53.360
<v Speaker 2>I mean this wild so basic right now.

0:28:53.480 --> 0:28:55.920
<v Speaker 10>Yeah, absolutely, I mean to to sort of to know

0:28:55.960 --> 0:28:58.800
<v Speaker 10>of how many men and women there are children. So

0:28:59.480 --> 0:29:02.400
<v Speaker 10>we have quite a couple of countries where we can

0:29:02.440 --> 0:29:05.520
<v Speaker 10>show success, where we can show impact, and this impact

0:29:05.560 --> 0:29:10.280
<v Speaker 10>is leading governments also to invest more into data and statistics.

0:29:10.280 --> 0:29:13.960
<v Speaker 10>So you can say the glass is maybe more half

0:29:14.000 --> 0:29:16.680
<v Speaker 10>full than half empty in our area. But through these

0:29:16.720 --> 0:29:19.160
<v Speaker 10>events like what we have here at the highest level

0:29:19.160 --> 0:29:21.880
<v Speaker 10>that we had the DSG. I mean, AMohamed was opening

0:29:21.880 --> 0:29:24.600
<v Speaker 10>the High Impact Initiative. We had another event, just a

0:29:24.640 --> 0:29:28.600
<v Speaker 10>breakfast on seven am in the morning, full room, very

0:29:28.680 --> 0:29:32.760
<v Speaker 10>very important people. So there is more consideration for the topic.

0:29:33.240 --> 0:29:36.760
<v Speaker 10>And I'm rather optimistic than for the next eight years

0:29:36.760 --> 0:29:38.719
<v Speaker 10>that we can give it a big push and we

0:29:38.800 --> 0:29:41.480
<v Speaker 10>will be able to convince more people that this is

0:29:41.520 --> 0:29:43.760
<v Speaker 10>an important part of the development nexus.

0:29:43.840 --> 0:29:47.160
<v Speaker 6>Johannas you talked about Google and Like or the media

0:29:47.200 --> 0:29:49.920
<v Speaker 6>you're going that you've had, or the conversations you've had,

0:29:50.040 --> 0:29:53.880
<v Speaker 6>and I do wonder about how much increasingly the private

0:29:54.000 --> 0:29:55.840
<v Speaker 6>sector complain all of this. It's interesting. We had a

0:29:55.840 --> 0:30:01.200
<v Speaker 6>guest yesterday and we talked about the roaring and the

0:30:01.320 --> 0:30:04.040
<v Speaker 6>crash and FDR, and we talked about who were the

0:30:04.040 --> 0:30:07.160
<v Speaker 6>power brokers back then? It was you know, the Carnegie

0:30:07.400 --> 0:30:10.720
<v Speaker 6>and you know those kind of folks who are industrialists.

0:30:11.080 --> 0:30:15.960
<v Speaker 6>Today's power brokers are the data CEOs and the data companies.

0:30:16.560 --> 0:30:18.800
<v Speaker 6>What you are trying to do, does it increasingly have

0:30:18.880 --> 0:30:21.680
<v Speaker 6>to come from the private sector or does that not

0:30:21.840 --> 0:30:25.960
<v Speaker 6>necessarily give you the purest data that you want.

0:30:27.240 --> 0:30:31.080
<v Speaker 10>It's a very very important question. They have so much

0:30:31.120 --> 0:30:33.160
<v Speaker 10>They have so much data, but of course data is

0:30:33.200 --> 0:30:36.080
<v Speaker 10>also linked to power, and it has lots of questions

0:30:36.080 --> 0:30:38.760
<v Speaker 10>about confidentiality. It's about the use, the safe use of

0:30:38.760 --> 0:30:41.920
<v Speaker 10>the data, and of course these companies want to make business.

0:30:42.320 --> 0:30:44.960
<v Speaker 10>What we are talking here is about a public good.

0:30:45.040 --> 0:30:48.520
<v Speaker 10>So if you talk specifically about a specific subcutory like

0:30:48.560 --> 0:30:51.560
<v Speaker 10>official statistics, I would say this should stay in the

0:30:51.600 --> 0:30:55.400
<v Speaker 10>hand of governments. There are certain criteria, we have principles

0:30:55.400 --> 0:30:57.560
<v Speaker 10>for how to produce those things. It's a public good.

0:30:58.000 --> 0:31:00.240
<v Speaker 10>We don't know what happens to those data, but I

0:31:00.280 --> 0:31:04.640
<v Speaker 10>think some of these data is just essential for the government,

0:31:04.840 --> 0:31:08.600
<v Speaker 10>for private sector, for civil society as well, to see

0:31:08.640 --> 0:31:12.280
<v Speaker 10>where a country stands, how is it about the education system.

0:31:12.400 --> 0:31:15.160
<v Speaker 10>So to leave this to the private sector, I don't

0:31:15.160 --> 0:31:18.120
<v Speaker 10>think it's a good idea to have the private sector

0:31:18.280 --> 0:31:21.840
<v Speaker 10>feed into those official statistics. That's a very different question.

0:31:22.400 --> 0:31:24.880
<v Speaker 10>We need to be on the same level playing field.

0:31:24.920 --> 0:31:27.280
<v Speaker 10>And we just talked about the numbers. If you look

0:31:27.320 --> 0:31:29.880
<v Speaker 10>at the budget of an official statistical office in a

0:31:29.920 --> 0:31:33.000
<v Speaker 10>poor country and you compare it with any other private

0:31:33.040 --> 0:31:36.800
<v Speaker 10>sector of funding, it's very clear where the power relate,

0:31:36.880 --> 0:31:38.240
<v Speaker 10>how the power relationship is.

0:31:38.240 --> 0:31:40.400
<v Speaker 6>We'll invest your money, not flow in if you don't

0:31:40.400 --> 0:31:44.040
<v Speaker 6>have those data sets well to some expensehip.

0:31:44.160 --> 0:31:47.240
<v Speaker 10>Absolutely, I mean it's flowing in. But then we make

0:31:47.600 --> 0:31:51.280
<v Speaker 10>in some countries where we this birth registration that I

0:31:51.360 --> 0:31:56.480
<v Speaker 10>mentioned be registration, this is terrible. Mistakes are possible and

0:31:56.800 --> 0:31:59.880
<v Speaker 10>also sort of investments that are not sort of leading

0:31:59.880 --> 0:32:02.320
<v Speaker 10>to the estimated results.

0:32:02.320 --> 0:32:04.440
<v Speaker 2>I mean the middle class for instance, you want to

0:32:04.480 --> 0:32:07.160
<v Speaker 2>know as a as an investor, the middle class in

0:32:07.160 --> 0:32:09.080
<v Speaker 2>India is it? Is it five hundred million?

0:32:09.120 --> 0:32:09.280
<v Speaker 4>Now?

0:32:09.320 --> 0:32:09.959
<v Speaker 2>How big is it?

0:32:10.000 --> 0:32:10.360
<v Speaker 8>Actually?

0:32:10.960 --> 0:32:12.280
<v Speaker 3>Do you always trust the data?

0:32:12.840 --> 0:32:13.560
<v Speaker 8>No?

0:32:13.560 --> 0:32:15.560
<v Speaker 2>No, not at all. I mean there is I mean

0:32:15.560 --> 0:32:17.840
<v Speaker 2>there were no but.

0:32:17.920 --> 0:32:21.520
<v Speaker 3>There is calling out individual countries specifically or feel free to.

0:32:21.920 --> 0:32:24.160
<v Speaker 2>Yeah, I mean that there are. Can they can talk

0:32:24.160 --> 0:32:25.120
<v Speaker 2>about the past.

0:32:24.960 --> 0:32:29.200
<v Speaker 6>Even the developed markets, right, we questioned some of the.

0:32:28.000 --> 0:32:31.120
<v Speaker 10>There are two examples that very well known and it's

0:32:31.200 --> 0:32:34.920
<v Speaker 10>Greece and also Argentina at some point in the past.

0:32:34.920 --> 0:32:38.960
<v Speaker 10>And there was about the inflation CPI, which is very

0:32:38.960 --> 0:32:42.479
<v Speaker 10>well documented. So the the good thing is that there

0:32:42.560 --> 0:32:46.480
<v Speaker 10>is a trusted community that would call out those misbehavior.

0:32:47.440 --> 0:32:51.240
<v Speaker 10>There's also a misunderstanding. Sometimes there is not one choose

0:32:51.320 --> 0:32:53.520
<v Speaker 10>in the data that is not it it's not truths.

0:32:53.560 --> 0:32:55.640
<v Speaker 2>It's what's important is you make it.

0:32:55.600 --> 0:32:58.960
<v Speaker 10>Very clear that you by to statistical standards and that

0:32:59.040 --> 0:33:02.120
<v Speaker 10>the data is sort of produced with a certain quality standards,

0:33:02.120 --> 0:33:03.920
<v Speaker 10>and you make it very open, and then you can

0:33:03.960 --> 0:33:07.440
<v Speaker 10>start a debate about it, which is really more fascinating

0:33:07.480 --> 0:33:09.800
<v Speaker 10>than you sometimes tend to believe.

0:33:09.640 --> 0:33:11.520
<v Speaker 6>I know, for my daughter, because you don't work with

0:33:11.560 --> 0:33:16.880
<v Speaker 6>you guys in gender, Why gender versus healthcare versus employment

0:33:17.040 --> 0:33:20.480
<v Speaker 6>versus financing, or how do you choose where you want

0:33:20.520 --> 0:33:23.040
<v Speaker 6>to focus on? How does that or is that determined

0:33:23.040 --> 0:33:25.640
<v Speaker 6>by the money that comes in in somebody's interest, or

0:33:25.880 --> 0:33:27.680
<v Speaker 6>how do you figure because there's so many probably different

0:33:27.680 --> 0:33:28.280
<v Speaker 6>ways you could go.

0:33:28.840 --> 0:33:33.080
<v Speaker 10>Absolutely, I mean the demand is immense. I think many

0:33:33.160 --> 0:33:36.240
<v Speaker 10>of the questions around gender are underpinning.

0:33:35.880 --> 0:33:36.959
<v Speaker 2>Every other sector.

0:33:37.000 --> 0:33:39.360
<v Speaker 10>If you look at development, we look often at sectors,

0:33:39.360 --> 0:33:41.280
<v Speaker 10>we look at agriculture, we look at health, we look

0:33:41.280 --> 0:33:44.400
<v Speaker 10>at education. If you try to improve all those sectors,

0:33:44.400 --> 0:33:48.760
<v Speaker 10>and the SDGs have seventeen different quote unquote sectors, gender

0:33:48.840 --> 0:33:51.360
<v Speaker 10>is underpinning everything. I mean in terms of if we

0:33:51.400 --> 0:33:54.959
<v Speaker 10>invest in good investment in gender statistics, which could be

0:33:55.000 --> 0:33:59.880
<v Speaker 10>I mean sex disaggregated data, but also a gender based violence,

0:34:00.760 --> 0:34:03.760
<v Speaker 10>which is important to document as well, so it's.

0:34:03.720 --> 0:34:05.240
<v Speaker 2>Underpinning all other sectors.

0:34:05.280 --> 0:34:07.400
<v Speaker 10>And what you also probably have talked about quite a

0:34:07.440 --> 0:34:11.120
<v Speaker 10>lot in the show is about the economic benefit to

0:34:11.360 --> 0:34:15.120
<v Speaker 10>use the potential of women's empowerment, in particular, for instance,

0:34:15.120 --> 0:34:19.920
<v Speaker 10>to access to ownership rights of resources, land, credit, insurance.

0:34:20.239 --> 0:34:23.040
<v Speaker 10>So once you unlock this potential, once you have an

0:34:23.040 --> 0:34:27.080
<v Speaker 10>opportunity and you know how many women have access to

0:34:27.160 --> 0:34:29.680
<v Speaker 10>land and what kind of land and credit and education,

0:34:30.120 --> 0:34:32.760
<v Speaker 10>this will help you to make targeted investment and which

0:34:32.800 --> 0:34:36.240
<v Speaker 10>helps for all other sectors. So it's a huge multiplier effect.

0:34:36.760 --> 0:34:40.120
<v Speaker 10>Next to there's an intrinsic value that women and men

0:34:40.120 --> 0:34:41.200
<v Speaker 10>should be treated equally.

0:34:41.600 --> 0:34:44.440
<v Speaker 3>Okay, what about when it comes to data collection and

0:34:44.600 --> 0:34:47.560
<v Speaker 3>how different countries are collecting data? Are you seeing, you know,

0:34:47.600 --> 0:34:50.319
<v Speaker 3>in terms of developing countries where they don't necessarily have

0:34:50.360 --> 0:34:54.680
<v Speaker 3>the infrastructure built in, are you seeing them investing technologies

0:34:54.680 --> 0:34:57.879
<v Speaker 3>that are so called lead frogging technologies that allow them

0:34:57.880 --> 0:35:00.919
<v Speaker 3>to sort of bypass the big infrastructure investments that were

0:35:01.120 --> 0:35:03.360
<v Speaker 3>made in the past. And I'm thinking, like, you know,

0:35:04.120 --> 0:35:08.120
<v Speaker 3>ways to provide internet to folks without wireline broadband, you know,

0:35:08.160 --> 0:35:11.360
<v Speaker 3>without actually digging holes using satellites, being able to use

0:35:11.440 --> 0:35:14.800
<v Speaker 3>data collection instead of launching satellites, use drones for example.

0:35:16.040 --> 0:35:19.680
<v Speaker 10>This is happening and I'm personally I collected myself when

0:35:19.680 --> 0:35:22.640
<v Speaker 10>I did my master's thesis. I went to a couple

0:35:22.680 --> 0:35:25.319
<v Speaker 10>of countries and collected data from my own seasons. So

0:35:25.640 --> 0:35:28.239
<v Speaker 10>I was working with national statistical offices and we had

0:35:28.280 --> 0:35:31.000
<v Speaker 10>these paper forms. So you went with a paper form

0:35:31.040 --> 0:35:33.560
<v Speaker 10>with a questionnaire and you asked all these questions and

0:35:33.560 --> 0:35:35.239
<v Speaker 10>then you went back and then you had to type

0:35:35.280 --> 0:35:38.200
<v Speaker 10>it in that I have seen statistical office packed with

0:35:38.320 --> 0:35:42.520
<v Speaker 10>lots of paper and it looks like in your office

0:35:42.520 --> 0:35:48.680
<v Speaker 10>small less anyway, So this is changing now using mobile

0:35:48.680 --> 0:35:53.520
<v Speaker 10>phones and copies and and and different forms of basically

0:35:53.560 --> 0:35:55.120
<v Speaker 10>collecting the data electronically.

0:35:55.360 --> 0:35:56.600
<v Speaker 2>And this is happening.

0:35:56.200 --> 0:35:59.239
<v Speaker 10>Even in poor countries, so there are technolog You said

0:35:59.239 --> 0:36:01.800
<v Speaker 10>it very nicely that this leap frogging is happening.

0:36:01.880 --> 0:36:03.160
<v Speaker 2>I mean we are not seeing.

0:36:03.400 --> 0:36:06.160
<v Speaker 10>We also work at the OECD with of course rich

0:36:06.800 --> 0:36:10.280
<v Speaker 10>country statistical offices, and you can really see the difference

0:36:10.280 --> 0:36:13.440
<v Speaker 10>of how national statistical office, in particular in these middle

0:36:13.440 --> 0:36:19.280
<v Speaker 10>income categories like Philippines, eventually Ghana, Columbia, how they jump

0:36:19.400 --> 0:36:22.840
<v Speaker 10>over this and how they change the infrastructure and through

0:36:23.280 --> 0:36:25.480
<v Speaker 10>very different forms of using modern technologies.

0:36:25.520 --> 0:36:27.680
<v Speaker 2>And this is really how very very nice to see.

0:36:27.840 --> 0:36:29.759
<v Speaker 6>Well, I know in our prop call I said, you're

0:36:29.800 --> 0:36:32.000
<v Speaker 6>kind of openable. Windowed is something that we are not

0:36:32.239 --> 0:36:34.000
<v Speaker 6>necessarily aware of, and we just take for granted that

0:36:34.000 --> 0:36:36.480
<v Speaker 6>there's so much data everywhere. So this was really enlightening.

0:36:36.520 --> 0:36:38.160
<v Speaker 2>Thank you so much, Thank you so much.

0:36:38.200 --> 0:36:41.280
<v Speaker 6>Safe time to be here, so enjoyed it. Johannes Shutin,

0:36:41.560 --> 0:36:44.680
<v Speaker 6>his executive head of the Partnership in Statistics for Development

0:36:44.719 --> 0:36:47.480
<v Speaker 6>in the twenty first Century aka Paris twenty one. This

0:36:47.560 --> 0:37:00.280
<v Speaker 6>is still Parmark.

0:36:56.360 --> 0:36:57.520
<v Speaker 2>Journal.

0:36:57.840 --> 0:36:58.839
<v Speaker 4>Now about you let me drive?

0:36:59.120 --> 0:37:01.640
<v Speaker 2>Oh no, no, no, no, who's going to jog home?

0:37:02.200 --> 0:37:02.560
<v Speaker 10>Honey?

0:37:02.680 --> 0:37:07.920
<v Speaker 2>Please gravels. Let's mate, I want to try.

0:37:06.360 --> 0:37:09.520
<v Speaker 3>It's a good question.

0:37:13.320 --> 0:37:16.560
<v Speaker 2>This is the drive to the Globe dot com thing?

0:37:16.680 --> 0:37:19.880
<v Speaker 8>Well, Bun on Bloomberg.

0:37:19.480 --> 0:37:22.200
<v Speaker 6>Radio, all right, everybody, Carol Master along as him stead

0:37:22.440 --> 0:37:22.800
<v Speaker 6>Who is that?

0:37:23.040 --> 0:37:23.840
<v Speaker 2>I just can't who is that?

0:37:24.440 --> 0:37:25.960
<v Speaker 6>We're going to talk about more of what I was doing.

0:37:26.040 --> 0:37:27.920
<v Speaker 6>Later on, we were at the earth Shot Prize in

0:37:28.000 --> 0:37:31.239
<v Speaker 6>the Bloomberg Innovation Summit here at the Plaza in New

0:37:31.320 --> 0:37:33.440
<v Speaker 6>York City. But it's all about innovators who are doing

0:37:33.560 --> 0:37:35.520
<v Speaker 6>very cool things. A lot of it is about how

0:37:35.600 --> 0:37:37.680
<v Speaker 6>can we improve the climate. I'm sorry I missed reduced

0:37:37.680 --> 0:37:38.400
<v Speaker 6>the carbon footprint.

0:37:38.480 --> 0:37:39.160
<v Speaker 3>I'm sorry I missed it.

0:37:39.160 --> 0:37:41.160
<v Speaker 6>I'm glad you're being William was a little ticked off.

0:37:42.200 --> 0:37:44.479
<v Speaker 3>Did you tell him? I said, high, I will like okay,

0:37:45.360 --> 0:37:46.799
<v Speaker 3>but I was holding on the fort Don't worry.

0:37:46.920 --> 0:37:49.279
<v Speaker 6>He did talk about this Treasury tenure yield rising to

0:37:49.560 --> 0:37:52.080
<v Speaker 6>four point three six five percent high since two thousand

0:37:52.080 --> 0:37:55.640
<v Speaker 6>and seven. He did not, But nonetheless we are talking

0:37:55.719 --> 0:37:57.600
<v Speaker 6>about it. We want to see what Charles Tan has

0:37:57.640 --> 0:37:59.719
<v Speaker 6>to say, because this is definitely in his wheelhouse. He's

0:37:59.760 --> 0:38:02.759
<v Speaker 6>co the io of Global fixed Income at American Centric Investments.

0:38:02.960 --> 0:38:05.120
<v Speaker 6>He's here in our Bloomberg Interactive Broker studio and he's

0:38:05.120 --> 0:38:10.040
<v Speaker 6>been watching how the sausage is made. Thank you, thank you, welcome, welcome.

0:38:11.120 --> 0:38:14.799
<v Speaker 6>Ten year, five year, we've seen the highest yealed since

0:38:15.320 --> 0:38:16.799
<v Speaker 6>seven significant.

0:38:18.000 --> 0:38:21.160
<v Speaker 9>Absolutely, yeah. So you know, over past the couple of years,

0:38:21.200 --> 0:38:23.760
<v Speaker 9>I think some of the major changes in a global

0:38:23.920 --> 0:38:27.520
<v Speaker 9>economy and also global inflation markets are leading to this

0:38:27.840 --> 0:38:32.880
<v Speaker 9>higher inflation and not surprisingly higher rates environment. And you know,

0:38:33.000 --> 0:38:35.520
<v Speaker 9>we think having said that, we feel like, you know,

0:38:35.600 --> 0:38:39.719
<v Speaker 9>tomorrow is a FED meeting, right, so that could well

0:38:39.760 --> 0:38:43.080
<v Speaker 9>be the end of this you know, hiking cycle. We

0:38:43.239 --> 0:38:46.120
<v Speaker 9>are expecting what's so called about like a hawkish you

0:38:46.360 --> 0:38:49.160
<v Speaker 9>pause tomorrow, meaning that you know there were a pause.

0:38:49.160 --> 0:38:51.640
<v Speaker 6>But you read the Bloomberg story. That's at hawkish past.

0:38:52.200 --> 0:38:55.000
<v Speaker 9>Okay, yeah, that has been that's actually been sort of

0:38:55.080 --> 0:38:57.480
<v Speaker 9>the market consensus for for a while. So and we're

0:38:58.080 --> 0:39:00.879
<v Speaker 9>definitely going along with that, you know, the the market

0:39:00.920 --> 0:39:04.280
<v Speaker 9>on sentence on this one. But you're not gonna pause

0:39:04.280 --> 0:39:07.680
<v Speaker 9>and not gonna sound the hawk ish. So there still

0:39:07.800 --> 0:39:10.279
<v Speaker 9>might be a chance of a hike in November, but

0:39:10.360 --> 0:39:14.480
<v Speaker 9>a we believe by the time when no Womber comes around, uh,

0:39:14.600 --> 0:39:17.719
<v Speaker 9>the economic data will be weak enough for them to

0:39:17.760 --> 0:39:18.600
<v Speaker 9>say it this is it.

0:39:19.880 --> 0:39:21.839
<v Speaker 3>Okay, I'm gonna just throw this out there. I'm gonna

0:39:21.840 --> 0:39:22.520
<v Speaker 3>get a little crazy.

0:39:22.520 --> 0:39:22.800
<v Speaker 1>Okay.

0:39:23.280 --> 0:39:25.360
<v Speaker 3>I was walking in the office yesterday and we're to

0:39:25.480 --> 0:39:29.560
<v Speaker 3>that point in the economic cycle where a colleague of

0:39:29.640 --> 0:39:33.279
<v Speaker 3>mine who you know, doesn't you know, he stops me,

0:39:33.360 --> 0:39:35.400
<v Speaker 3>knows what I do for work, and he's like, I

0:39:35.520 --> 0:39:38.160
<v Speaker 3>want to talk to you about bonds, and he's like

0:39:38.520 --> 0:39:42.360
<v Speaker 3>he's close to retirement, He's like, why would I not

0:39:42.600 --> 0:39:46.040
<v Speaker 3>buy two year bonds that yield over five percent?

0:39:46.160 --> 0:39:46.480
<v Speaker 1>Right now?

0:39:46.560 --> 0:39:48.959
<v Speaker 3>He's like, I've ignored bonds for years, right, why would

0:39:48.960 --> 0:39:50.960
<v Speaker 3>I not do that right now? And I said, first

0:39:50.960 --> 0:39:53.239
<v Speaker 3>of all, I can't provide investment advice. Friend, I have

0:39:53.360 --> 0:39:56.320
<v Speaker 3>no idea, but I'll ask I'll ask Charles all about it.

0:39:56.640 --> 0:39:58.759
<v Speaker 9>Well, I would say, you know, your colleague is it's

0:39:58.760 --> 0:40:00.719
<v Speaker 9>definitely on the right path, you know, because you know

0:40:00.840 --> 0:40:03.800
<v Speaker 9>this is a very uh, the very first time in

0:40:04.400 --> 0:40:08.239
<v Speaker 9>multiple years. Actually, investors and savers, if you're retirement nurse

0:40:08.239 --> 0:40:12.799
<v Speaker 9>thing about savings actually getting a really you know, attractive yield. Right,

0:40:12.840 --> 0:40:15.080
<v Speaker 9>So you talk about a five percent you can put

0:40:15.120 --> 0:40:17.040
<v Speaker 9>your money in the money market, don't worry about it,

0:40:17.200 --> 0:40:20.440
<v Speaker 9>or can put your money in buying treasure reviews. Five percent,

0:40:20.920 --> 0:40:23.279
<v Speaker 9>that's it. You feel pretty good about it. If you're

0:40:23.280 --> 0:40:25.680
<v Speaker 9>willing to take a litt bit more risk. Let's say

0:40:25.719 --> 0:40:27.720
<v Speaker 9>in a way you actually recently launch a new product

0:40:27.760 --> 0:40:32.799
<v Speaker 9>called fusing that's an ETF floating rate instrument. A little

0:40:32.800 --> 0:40:35.800
<v Speaker 9>bit more risk, double a rated. You know in the

0:40:36.000 --> 0:40:39.800
<v Speaker 9>bond world, you know highs this trip away doubles in it.

0:40:39.880 --> 0:40:42.480
<v Speaker 9>Then you know high those kind of things. So double

0:40:42.520 --> 0:40:44.080
<v Speaker 9>A average is very high quality.

0:40:44.360 --> 0:40:45.160
<v Speaker 2>So is this corporate?

0:40:45.480 --> 0:40:48.600
<v Speaker 9>This is a corporate structured and also floating rate mortgage

0:40:48.640 --> 0:40:51.880
<v Speaker 9>boond altogether floating rates. You don't take any risk on

0:40:51.960 --> 0:40:54.480
<v Speaker 9>a floating rate interest rates. It takes a little bit

0:40:54.800 --> 0:40:57.640
<v Speaker 9>credit risk. You get a seven percent. If you're a

0:40:57.640 --> 0:41:00.759
<v Speaker 9>little bit more adventurous, you can go into high yield

0:41:00.800 --> 0:41:03.759
<v Speaker 9>the bank loans you can get a to ten percent. Right,

0:41:04.080 --> 0:41:06.520
<v Speaker 9>So there's a far cry from a merely like a

0:41:06.560 --> 0:41:07.799
<v Speaker 9>you are and a half two years ago.

0:41:08.080 --> 0:41:08.239
<v Speaker 5>Right.

0:41:08.680 --> 0:41:12.640
<v Speaker 9>If you compare bonds today versus the stocks, it's also

0:41:12.840 --> 0:41:16.360
<v Speaker 9>the polar opposite. Two years ago, I think you know,

0:41:16.400 --> 0:41:19.840
<v Speaker 9>Bonni yield as we know was almost zero, and you

0:41:19.920 --> 0:41:23.880
<v Speaker 9>know stock dividend yield was about like two percent and

0:41:24.000 --> 0:41:27.799
<v Speaker 9>earning about five percent. Today Bonnie yield is about five

0:41:27.880 --> 0:41:30.640
<v Speaker 9>to six percent seven percent. Can take a bit more risk.

0:41:31.280 --> 0:41:34.879
<v Speaker 9>But where is dividend one point five percent and where

0:41:35.120 --> 0:41:38.440
<v Speaker 9>is earning? It is only four percent? Right, So that's

0:41:38.520 --> 0:41:41.239
<v Speaker 9>why you're seeing a lot of you know, flows into

0:41:41.320 --> 0:41:44.640
<v Speaker 9>money market funds, into you know, short duration funds. And

0:41:44.800 --> 0:41:47.520
<v Speaker 9>I think your friend is really having his mind in.

0:41:47.560 --> 0:41:48.080
<v Speaker 8>The right place.

0:41:48.160 --> 0:41:50.320
<v Speaker 6>But that's interesting talk to us about where the investment

0:41:50.360 --> 0:41:52.759
<v Speaker 6>money is going. Is it all short duration at this point?

0:41:53.480 --> 0:41:56.239
<v Speaker 9>I think so far. Uh, you know, the flow, the

0:41:56.320 --> 0:41:58.600
<v Speaker 9>vast majority of flow are going into the short end

0:41:58.920 --> 0:42:01.280
<v Speaker 9>money market funds in but which is out of history.

0:42:01.440 --> 0:42:04.680
<v Speaker 9>Just really sure, right, But we also believe there are

0:42:04.680 --> 0:42:08.480
<v Speaker 9>opportunities now with the FED, you know, almost at the

0:42:08.600 --> 0:42:10.640
<v Speaker 9>end of the hiking cycle, the ten year you just

0:42:10.680 --> 0:42:13.400
<v Speaker 9>mentioned about the four point three six percent, we think

0:42:13.440 --> 0:42:16.520
<v Speaker 9>it looks attractive. The reason we think it's attractive is

0:42:16.560 --> 0:42:20.040
<v Speaker 9>because you know, when you have a recession, when you

0:42:20.120 --> 0:42:23.560
<v Speaker 9>have economic slowdown, when inflition comes down, interest rates tend

0:42:23.600 --> 0:42:27.680
<v Speaker 9>to decline right when that declines, and you can you know,

0:42:27.880 --> 0:42:30.200
<v Speaker 9>add you know, sort of more duration to a papoli

0:42:30.239 --> 0:42:33.480
<v Speaker 9>by buying not only in front end but also you know,

0:42:33.640 --> 0:42:36.040
<v Speaker 9>five year bomb, seven year boond, ten year bomb.

0:42:36.200 --> 0:42:37.760
<v Speaker 6>But investors aren't doing that yet.

0:42:37.880 --> 0:42:39.800
<v Speaker 3>Not yet, because they because they don't know if the

0:42:39.880 --> 0:42:42.200
<v Speaker 3>hiking cycle is done. I think there is more room

0:42:42.239 --> 0:42:42.960
<v Speaker 3>to run on yields.

0:42:43.360 --> 0:42:45.960
<v Speaker 9>I think there is anxiety about, you know, the sort

0:42:46.000 --> 0:42:47.920
<v Speaker 9>of when the hiking cycle will be down and what

0:42:48.040 --> 0:42:48.759
<v Speaker 9>that means for.

0:42:49.000 --> 0:42:52.040
<v Speaker 3>That's an understatement, yes, absolutely right.

0:42:52.120 --> 0:42:54.640
<v Speaker 6>Well, honestly, I think the whole anxiety and all caps

0:42:54.719 --> 0:42:57.600
<v Speaker 6>exclamation point, exclamation point, the whole world.

0:42:57.440 --> 0:43:00.680
<v Speaker 9>Is beating on. You know, is the infliction really turning

0:43:01.080 --> 0:43:03.719
<v Speaker 9>or it's going to be actually reviving at a sort

0:43:03.760 --> 0:43:04.279
<v Speaker 9>of But.

0:43:04.640 --> 0:43:07.719
<v Speaker 6>To that point, fundamentally, it's interesting coming from the earth

0:43:07.719 --> 0:43:10.279
<v Speaker 6>Shot Innovation Summit that we do here at Bloomberg. You know,

0:43:10.520 --> 0:43:12.640
<v Speaker 6>it's all about reducing the carbon footprint. But we are

0:43:12.719 --> 0:43:15.759
<v Speaker 6>in this interesting cycle where we it feels like more

0:43:15.800 --> 0:43:20.040
<v Speaker 6>companies are getting more aggressive about their ESG aspects and

0:43:20.160 --> 0:43:24.440
<v Speaker 6>reducing their carbon footprint. I mean, hottest year on record already, yes, globally,

0:43:24.760 --> 0:43:27.560
<v Speaker 6>So I do wonder those shifts, some of those things

0:43:27.600 --> 0:43:30.960
<v Speaker 6>that are out there, doesn't mean that the inflation picture

0:43:31.080 --> 0:43:33.520
<v Speaker 6>is higher than it's been And do we need to

0:43:33.600 --> 0:43:34.000
<v Speaker 6>accept that?

0:43:34.239 --> 0:43:36.719
<v Speaker 2>Yeah, I think even if the FED will not, that's right.

0:43:36.840 --> 0:43:38.560
<v Speaker 9>So I think that this inflation sort of a trend

0:43:38.719 --> 0:43:41.040
<v Speaker 9>is a very complicated question, you know, as it should be.

0:43:41.520 --> 0:43:43.160
<v Speaker 9>The way we look at it is this, you know,

0:43:43.280 --> 0:43:45.640
<v Speaker 9>we think that inflation in the near term called it

0:43:45.760 --> 0:43:48.799
<v Speaker 9>one to two years, is going to be going down,

0:43:49.440 --> 0:43:52.120
<v Speaker 9>but then over a three to five year time horizon

0:43:52.560 --> 0:43:55.000
<v Speaker 9>you may well come back. So this is what we

0:43:55.200 --> 0:43:59.520
<v Speaker 9>call cyclically you know, down but circular up. Why we

0:43:59.600 --> 0:44:02.759
<v Speaker 9>think of that the case near term one two years,

0:44:02.920 --> 0:44:05.600
<v Speaker 9>you know, in that term horizon, we believe they're going

0:44:05.640 --> 0:44:09.320
<v Speaker 9>to be hard lending, be a recession, and in the recession,

0:44:09.719 --> 0:44:12.120
<v Speaker 9>you know, demand will go down and the supply will

0:44:12.160 --> 0:44:15.000
<v Speaker 9>naturally go up, and you know, the trend of inflation

0:44:15.200 --> 0:44:17.920
<v Speaker 9>naturally will go you know, go down in that time horizon.

0:44:18.600 --> 0:44:21.120
<v Speaker 9>Another factor really is money supply. You know, I'm sure

0:44:21.160 --> 0:44:23.600
<v Speaker 9>you know over the past two or three years, there's

0:44:23.600 --> 0:44:27.440
<v Speaker 9>a huge supply in money supply, right, so now money supply,

0:44:27.520 --> 0:44:27.920
<v Speaker 9>and we're going.

0:44:27.880 --> 0:44:30.680
<v Speaker 6>To talk about with the New York State Controller Thomas

0:44:30.760 --> 0:44:32.759
<v Speaker 6>di Napoli. Like in the last three years, it's been

0:44:32.800 --> 0:44:35.359
<v Speaker 6>great for state cities, right They've been able to cut

0:44:35.360 --> 0:44:37.279
<v Speaker 6>taxes because there's been so much money coming in very

0:44:37.280 --> 0:44:38.400
<v Speaker 6>different environments.

0:44:38.080 --> 0:44:41.440
<v Speaker 9>Exactly, so you know, you know, and to right now

0:44:41.560 --> 0:44:44.480
<v Speaker 9>is contracting, which is supporting sort of that inflation will

0:44:44.520 --> 0:44:46.959
<v Speaker 9>be down at least for the next couple of years.

0:44:47.400 --> 0:44:50.600
<v Speaker 9>But then longer term, we believe there are many structures

0:44:50.640 --> 0:44:54.880
<v Speaker 9>sort of changes in the globe economy, including esg energies,

0:44:55.320 --> 0:44:57.800
<v Speaker 9>you know, lacks of energy sort of an investment but

0:44:57.880 --> 0:45:00.520
<v Speaker 9>there are other forces at work as well that will

0:45:00.560 --> 0:45:02.640
<v Speaker 9>push that inflation search.

0:45:03.360 --> 0:45:05.360
<v Speaker 6>Yeah, that makes a lot of sense. Bridge gets Wan

0:45:05.400 --> 0:45:06.560
<v Speaker 6>to talk with you. Thank you and thank you for

0:45:06.640 --> 0:45:08.359
<v Speaker 6>dealing with our craziness.

0:45:08.280 --> 0:45:08.920
<v Speaker 10>Before we went on.

0:45:10.200 --> 0:45:12.920
<v Speaker 6>Get a little idea behind the scenes, Charleston, He's Cocio

0:45:12.920 --> 0:45:15.160
<v Speaker 6>of Global Fixed and come over at American Century Investments.

0:45:15.200 --> 0:45:16.040
<v Speaker 6>Here in studio.

0:45:17.160 --> 0:45:17.759
<v Speaker 5>This is the.

0:45:17.800 --> 0:45:22.560
<v Speaker 1>Bloomberg Business Week podcast, available on Apple, Spotify, and anywhere

0:45:22.600 --> 0:45:26.480
<v Speaker 1>else you get your podcast. Listen live weekday afternoons from

0:45:26.560 --> 0:45:30.560
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0:45:30.680 --> 0:45:33.200
<v Speaker 1>tune In, and the Bloomberg Business App. You can also

0:45:33.360 --> 0:45:36.719
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0:45:36.800 --> 0:45:38.120
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