WEBVTT - More Eco Data This Week, How Traders Can Use AI

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is Bloomberg business Week inside from the reporters and

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<v Speaker 2>editors who bring you America's most trusted business magazine, plus

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<v Speaker 2>global business, finance and tech news. The Bloomberg Business Week

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<v Speaker 2>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 1>We know this is a market environment that moves from

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<v Speaker 1>economic data point to economic data point, and we also

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<v Speaker 1>know that not all economic data point or data is

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<v Speaker 1>treated equally by investors, nor economists, nor the Fed for

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<v Speaker 1>that matter.

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<v Speaker 3>Tim Well, this week though we do have a few

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<v Speaker 3>that are watched by all, as we get two reads

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<v Speaker 3>on inflation just over the next two days. Also a

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<v Speaker 3>read on retail sales on Friday, throwing some jobless claims, Carol,

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<v Speaker 3>the Fed is watching the US labor market closely. All

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<v Speaker 3>this could make for an interesting week. And then Michael

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<v Speaker 3>McKee next week goes off to Jackson Hole. Right, so

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<v Speaker 3>hear from VET chair J.

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<v Speaker 2>Powell.

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<v Speaker 1>We'll see what he has to say. How that shapes

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<v Speaker 1>the narrative? All right, So let's get to it with

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<v Speaker 1>us our round table Bloomberg News Economics editor of Molly Smith,

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<v Speaker 1>along with Bloomberg economics US economist Stuart Paul Stewart here

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<v Speaker 1>in studio Molly on Zoom here in New York City,

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<v Speaker 1>and so let's get to it. So we do, first

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<v Speaker 1>of all, Molly lay it out for us and what matters,

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<v Speaker 1>and it's actually forgive me, I think there's three inflation reports,

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<v Speaker 1>although I'm not quite sure the New York Fed one

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<v Speaker 1>year inflation expectations it already came out. There's two more

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<v Speaker 1>that come in aware over the next couple of days.

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<v Speaker 1>What matters, Yeah, I.

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<v Speaker 4>Mean, it's really just going to be CPI, the Consumer

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<v Speaker 4>Price Index and full focus that comes out on Wednesday

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<v Speaker 4>this week, and we also get a look at producer prices,

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<v Speaker 4>so this is a level of wholesale inflation that comes

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<v Speaker 4>out on Tuesday. Obviously, the CPI is one of, if

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<v Speaker 4>not the biggest margaret moving events in any given month,

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<v Speaker 4>and I don't think that this will necessarily be too

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<v Speaker 4>much different from that. But hopefully we won't see nearly

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<v Speaker 4>the same reaction that we did to the jobs report

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<v Speaker 4>that you guys mentioned just two weeks ago, pretty fast

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<v Speaker 4>and furious moves and stocks and treasuries on that front.

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<v Speaker 4>And I think this one is I think people are

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<v Speaker 4>maybe just looking for Okay, let's just get through this.

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<v Speaker 4>Hopefully it's a fairly as expected reading. Maybe inflation is

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<v Speaker 4>going to pick up a little bit relative to June,

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<v Speaker 4>but the broader trend of disinflation is still going to

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<v Speaker 4>be intact. And I think something like that will just

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<v Speaker 4>bring hopefully a reassuring colm to the market. But that said,

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<v Speaker 4>it doesn't take that much to tip the scales these days,

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<v Speaker 4>Like everybody is just very jittery about the data right now.

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<v Speaker 3>Well, Stuart, come on in here. Let's talk CPI before

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<v Speaker 3>we talk PPI here, because you and the team over

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<v Speaker 3>at Bloomberg Economics argue that July CPI will likely be soft,

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<v Speaker 3>with the year over year changing core CPI edging further down,

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<v Speaker 3>take us into your thinking and what you're modeling.

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<v Speaker 5>So we have a few factors that are going on. First,

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<v Speaker 5>is that the most inter sensitive categories, things like used autos,

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<v Speaker 5>are exerting meaningful drag on both core and headline inflation.

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<v Speaker 5>We have some pretty came numbers for gasoline, so it's

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<v Speaker 5>not really boosting the headline all that much. And then

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<v Speaker 5>if we look at some of the more discretionary services categories,

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<v Speaker 5>things like airfares, things like hotels. We're expecting to see

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<v Speaker 5>some pretty meaningful drag on the core.

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<v Speaker 1>The thing that's going to come that from the earnings front,

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<v Speaker 1>the earnings picture where there was airlines, where it was

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<v Speaker 1>airbnbat mean Expedia. Nonetheless, there's stock rally because there was

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<v Speaker 1>a beat. But there everybody's talking about softness in the

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<v Speaker 1>travel sector.

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<v Speaker 5>That's right, it's really some of those more discretionary services

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<v Speaker 5>categories where consumers are tightening their belt. We expect to

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<v Speaker 5>see the same thing in the retail sales number this week.

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<v Speaker 5>We expect to see folks really looking for discounts and

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<v Speaker 5>doing some online bargain hunting as opposed to splurging on

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<v Speaker 5>food services and some more of the intro sensitive items

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<v Speaker 5>like appliances and autos, even though we will get some

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<v Speaker 5>auto spending after last months the June cyber attack on

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<v Speaker 5>auto dealers. But on the inflation front, it's interesting this

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<v Speaker 5>is one of those peculiar months where we get PPI

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<v Speaker 5>ahead of CPI and we're expecting see more softness in

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<v Speaker 5>the headline PPI number than in CPI. So to Mally's

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<v Speaker 5>points about folks wanting to take a deep breath, it's

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<v Speaker 5>possible that when they see the monthly pace of producer

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<v Speaker 5>prices ticking down. So when we see producer price inflation

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<v Speaker 5>which is zero point two percent on the month instead

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<v Speaker 5>of zero point four as they saw last month, folks

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<v Speaker 5>might breathe that sigh of relief. It might be a

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<v Speaker 5>little bit too early when they then see the headline

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<v Speaker 5>pace of CPI increase on the month. So this is

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<v Speaker 5>one of those peculiar months where the timing of the

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<v Speaker 5>data has the opportunity to both lull people into a

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<v Speaker 5>sense of complacency and then give a little bit of

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<v Speaker 5>a whipsaw just the next day.

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<v Speaker 1>Well, molly, what matters in terms of like help me

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<v Speaker 1>through the supply chain right PPI or the endpoint input prices?

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<v Speaker 2>Right?

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<v Speaker 1>So is that something then will show up in next

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<v Speaker 1>month CPI report? Like how do you kind of distinguish

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<v Speaker 1>those two pieces of data?

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<v Speaker 4>So generally, when the reason why you would, as a

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<v Speaker 4>typical person care about the PPI is because what's happening

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<v Speaker 4>at the doucer price level tends to filter through to

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<v Speaker 4>consumers over time. Overtime doesn't necessarily mean one month, though,

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<v Speaker 4>these are trends that can take more than that to

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<v Speaker 4>more time than that to develop, and of course movements

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<v Speaker 4>through the supply chain are not always that quick. But

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<v Speaker 4>it's of course, like really important to look at for

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<v Speaker 4>the overall inflation trend, especially you know, when you're looking

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<v Speaker 4>at what's happening with commodity prices, and so many of

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<v Speaker 4>those have been really wild over the summer. With looking

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<v Speaker 4>at what prices are for coffee and chocolate and other

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<v Speaker 4>kinds of metals and like things like that that just

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<v Speaker 4>you know, maybe you as a consumer aren't purchasing that

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<v Speaker 4>as a raw good, but when you purchase it as

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<v Speaker 4>a final product, then you start to notice how inspects

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<v Speaker 4>how expensive those goods can be.

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<v Speaker 3>Stuart, come on in, because I don't know about you guys,

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<v Speaker 3>but I was gone last week, and I even though

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<v Speaker 3>I wasn't you know, glued to.

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<v Speaker 1>My phone, we weren't here.

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<v Speaker 3>I could still hear people screaming about a fifty basis

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<v Speaker 3>point rate cut.

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<v Speaker 1>Oh wait, no, you mean the emergency rate. The emergency

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<v Speaker 1>is seventy five basis points. I forget who was it

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<v Speaker 1>that Jeremy Siegel was calling for us?

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<v Speaker 3>So a lot has changed in just a few days.

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<v Speaker 3>I don't hear those echoes right now pretty quickly. Actually,

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<v Speaker 3>we didn't see one of those emergency rate cuts come

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<v Speaker 3>from the FED, but could we get a not necessarily

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<v Speaker 3>a reaction, but could we get calls for some sort

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<v Speaker 3>of movement from the Fed based on the data moving

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<v Speaker 3>one way or the other this week's store.

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<v Speaker 5>I think that this week is going to be one

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<v Speaker 5>of those odd weeks where you feel a little bit

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<v Speaker 5>more stagflation risk as opposed to just outright recession risk.

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<v Speaker 5>So and I think that because equity markets ever covered,

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<v Speaker 5>because the feed through into credit mark into credit markets,

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<v Speaker 5>you know, when it comes to interest rate spreads, when

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<v Speaker 5>it comes to default risk, we haven't seen any sort

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<v Speaker 5>of material move there. So I think that when it

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<v Speaker 5>comes to what we're going to see this week and

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<v Speaker 5>how it shapes the narrative, it's going to be more

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<v Speaker 5>so around the idea of stagflation. We're going to see

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<v Speaker 5>in that isn't as inflation data that aren't as good

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<v Speaker 5>as they've been in the last three months. We're going

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<v Speaker 5>to see retail sales data that when you look deeper

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<v Speaker 5>in the core, it's going to be pretty dismal. I

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<v Speaker 5>think that looking at the control group for retail sales

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<v Speaker 5>it's going to be pretty rough, and we're going to

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<v Speaker 5>see zero point two percent decline in the month and

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<v Speaker 5>manufacturing data to round out the week. I also expect

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<v Speaker 5>that we're going to see a decline about zero point

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<v Speaker 5>three percent month on month decline in manufacturing output. So

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<v Speaker 5>we're not going to have as good inflation data, and

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<v Speaker 5>some of the other fundamental concepts are going to show

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<v Speaker 5>some weakness, and that could be enough to just keep

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<v Speaker 5>folks on edge having this fifty basis point twenty five

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<v Speaker 5>bases point debate for another month.

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<v Speaker 1>Which makes me want to jump to it. And I want

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<v Speaker 1>to ask both of you, and let me Molly, let

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<v Speaker 1>me start with you. So are more people starting to

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<v Speaker 1>talk about a recession and that if we get a recession,

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<v Speaker 1>that you know, if the FED possibly is behind the

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<v Speaker 1>curve in terms of maybe sparking some growth or catching

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<v Speaker 1>that we're slowing down maybe faster than we anticipated, could

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<v Speaker 1>it be a deeper recession.

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<v Speaker 4>More people definitely are talking about recession. And since that

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<v Speaker 4>Job's report came out two weeks ago, we've seen JP

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<v Speaker 4>Morgan and Golden Economists both boost their likelihood of a

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<v Speaker 4>recession in the next twelve months. So I'm pretty sure

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<v Speaker 4>both of them are still below fifty percent, so still

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<v Speaker 4>fairly low odds. And I think those are the only

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<v Speaker 4>two that I'm really aware of who have come out

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<v Speaker 4>and boosted those odds in recent weeks. But I'm not

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<v Speaker 4>really hearing that it would be that would make a

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<v Speaker 4>recession any deeper. I think it's just now looking at

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<v Speaker 4>is the FED behind the curve? Like you said that

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<v Speaker 4>people are wondering that, And of course if you get

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<v Speaker 4>more inflation data that comes in softer than expected, that's

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<v Speaker 4>only just going to add fuel to that argument.

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<v Speaker 1>Stuart remind us where you guys are the team on

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<v Speaker 1>when it comes to recession.

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<v Speaker 5>So we've been noting that there's been a material slow

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<v Speaker 5>down in some of the underlying factors driving growth for

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<v Speaker 5>a long time. We've also been noting that again, even

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<v Speaker 5>if you just look at the Q two GDP data,

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<v Speaker 5>about a quarter of the growth that we saw was

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<v Speaker 5>from inventory accumulation. That folks and firms aren't trying to

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<v Speaker 5>accumulate inventories, it's just that they're accidentally producing more on

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<v Speaker 5>the expectation of zealing consumer demand that just isn't there.

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<v Speaker 5>And so we think that the FED is behind the curve,

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<v Speaker 5>and we do think that some of the recession, some

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<v Speaker 5>of the recession probabilities that have been assigned are probably

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<v Speaker 5>a smidge too low, but we've always been a little

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<v Speaker 5>bit more bearish expected and a half percent unemployment rate

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<v Speaker 5>by year end, and if we continue along this trajectory

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<v Speaker 5>that we saw in the last month, we'll hit it

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<v Speaker 5>or exceed it.

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<v Speaker 1>It's interesting because you guys have been for a long

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<v Speaker 1>time and at a time when it almost felt like, really,

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<v Speaker 1>can you still be calling this? And now it starts

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<v Speaker 1>to feel like things are falling into place. Guys, perfect

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<v Speaker 1>setup for us. On this Monday, Bloomberg News Economics Center

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<v Speaker 1>Molly Smith along with Bloomberg Economics US economist right here

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<v Speaker 1>in studio.

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<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

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<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

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<v Speaker 2>on Apple car Play and then Brout Auto with a

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<v Speaker 2>Bloomberg Business app, or watch us live on YouTube.

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<v Speaker 1>Now we got to talk take all of this together,

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<v Speaker 1>Tim and talk about the treasury and rates market trades.

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<v Speaker 6>Yeah.

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<v Speaker 3>Among our most read stories on the Bloomberg on this

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<v Speaker 3>Monday in August, how bonds are back as a hedge

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<v Speaker 3>after failing investors for years, finally contribute to the story.

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<v Speaker 3>Bloomberg News rates reporter Michael McKenzie. He ended last week

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<v Speaker 3>with us and now he kicks off Carol the week for.

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<v Speaker 1>Us, welcome back. You can't get away from us.

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<v Speaker 3>He tries, he works from home to try to get

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<v Speaker 3>away from us, and we still make him turn on

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<v Speaker 3>the camera and come hang out with us.

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<v Speaker 1>So Tim was away and he did read it.

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<v Speaker 3>Oh yeah, but so well up, he missed nothing right.

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<v Speaker 7>Yeah, we're violently unchanged.

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<v Speaker 3>Violently unchanged. That's a good way to describe.

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<v Speaker 1>How are you thinking about things on this Monday here?

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<v Speaker 3>Well, pretty much.

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<v Speaker 7>It's interesting too. So we've got a two year yeeld

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<v Speaker 7>right there on four percent, ten years at what three ninety.

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<v Speaker 7>So if you think last week we got as low,

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<v Speaker 7>we got below three eighty on tens, and we bounced

0:10:59.360 --> 0:11:02.439
<v Speaker 7>back to four to just shire four percent on Thursday

0:11:02.480 --> 0:11:05.520
<v Speaker 7>after that very week tenure auction. So we're back in

0:11:05.559 --> 0:11:07.160
<v Speaker 7>the middle of the range, and I think market's just

0:11:07.280 --> 0:11:10.280
<v Speaker 7>parked here waiting for what will be I think the

0:11:10.280 --> 0:11:14.240
<v Speaker 7>most important week for data until we get the payrolls report.

0:11:14.360 --> 0:11:17.720
<v Speaker 7>First week of September, we've got PPI, tomorrow's CPI and

0:11:17.760 --> 0:11:20.480
<v Speaker 7>then retail sales and jobbers claims. So we're going to

0:11:20.480 --> 0:11:25.520
<v Speaker 7>see whether or not inflation is trending down or whether

0:11:25.559 --> 0:11:27.520
<v Speaker 7>it's actually going to be proved to be sticky than

0:11:27.720 --> 0:11:31.520
<v Speaker 7>people are expecting the bob market. That will put pressure

0:11:31.640 --> 0:11:34.400
<v Speaker 7>on that front end. You should see high yields if

0:11:34.440 --> 0:11:38.079
<v Speaker 7>inflation is stickier when people anticipate that said, if inflation

0:11:38.160 --> 0:11:41.280
<v Speaker 7>comes in online bang in line with expectations, then I

0:11:41.280 --> 0:11:43.560
<v Speaker 7>think that the focus will turn to Okay, how is

0:11:43.559 --> 0:11:46.680
<v Speaker 7>the consumer looking for retail sales and are we seeing

0:11:46.720 --> 0:11:49.960
<v Speaker 7>any signs of weakness in those initial weekly choppers claims

0:11:49.960 --> 0:11:50.480
<v Speaker 7>on Thursday.

0:11:50.920 --> 0:11:52.800
<v Speaker 3>Of the data points that you just mentioned, of all

0:11:52.800 --> 0:11:55.360
<v Speaker 3>the economic data that we're getting this week, Michael, which

0:11:55.400 --> 0:11:58.080
<v Speaker 3>one do you think has the biggest implications for the

0:11:58.200 --> 0:11:58.720
<v Speaker 3>rates curve?

0:12:00.600 --> 0:12:04.840
<v Speaker 7>I'd say CPI. If CPI is trending in the right direction,

0:12:05.360 --> 0:12:07.439
<v Speaker 7>that means the bomb market and go right, this is

0:12:07.520 --> 0:12:11.760
<v Speaker 7>yesterday's story and let's just focus on the consumer and

0:12:11.800 --> 0:12:14.560
<v Speaker 7>the labor market. You get that all clear on CPI

0:12:14.840 --> 0:12:18.120
<v Speaker 7>this month. I actually loved the last month and it's

0:12:18.160 --> 0:12:21.280
<v Speaker 7>coming out this month. That means to focus on the

0:12:21.320 --> 0:12:24.520
<v Speaker 7>Fed's dual mandate. The labor side of things becomes really

0:12:24.559 --> 0:12:26.600
<v Speaker 7>really important now for the bomb market, and they will

0:12:26.640 --> 0:12:29.600
<v Speaker 7>continue then to really watch carefully for any scigns of

0:12:29.840 --> 0:12:31.079
<v Speaker 7>sort of labor deterioration.

0:12:31.679 --> 0:12:33.720
<v Speaker 1>You know, we mentioned in the Leader and to you, Michael,

0:12:33.760 --> 0:12:35.520
<v Speaker 1>about this story that's among the most read on the

0:12:35.520 --> 0:12:38.040
<v Speaker 1>Bloomberg about bonds or back as a hedge after failing

0:12:38.080 --> 0:12:41.120
<v Speaker 1>investors for years. We mentioned on Friday in our conversation

0:12:41.200 --> 0:12:43.520
<v Speaker 1>with you how you had caught up with Dan iverson

0:12:43.559 --> 0:12:47.200
<v Speaker 1>the world's biggest active bond fund manager, who says he's

0:12:47.320 --> 0:12:49.800
<v Speaker 1>just about ready to start adding to his treasury positions. Again.

0:12:50.679 --> 0:12:53.959
<v Speaker 1>You talk to a lot of investors, big bond investors,

0:12:54.280 --> 0:12:57.679
<v Speaker 1>are you increasingly seeing that among them that they're getting

0:12:57.720 --> 0:12:59.839
<v Speaker 1>ready to buy or are already buying.

0:13:00.480 --> 0:13:02.160
<v Speaker 7>They're already long. I mean, if you look at all

0:13:02.160 --> 0:13:05.880
<v Speaker 7>the positioning surveys, and in Himko's defense, when two year

0:13:06.160 --> 0:13:09.680
<v Speaker 7>was back above five percent briefly late April, they were buying.

0:13:10.040 --> 0:13:12.920
<v Speaker 7>So they all they've done is they've moderate their duration,

0:13:13.000 --> 0:13:15.160
<v Speaker 7>They've pulled it back a bit. They're waiting for a backup.

0:13:15.200 --> 0:13:18.000
<v Speaker 7>So if you get sticky inflation, I think they're going

0:13:18.000 --> 0:13:21.200
<v Speaker 7>to people come in and I'll cap the rise and yields,

0:13:22.480 --> 0:13:26.000
<v Speaker 7>but longer term, I mean himko take tend to take

0:13:26.000 --> 0:13:28.960
<v Speaker 7>a three to five year viewpoint of things. So Dan

0:13:29.000 --> 0:13:31.439
<v Speaker 7>Iverson's point to me was, if you're a long term investor,

0:13:31.480 --> 0:13:34.000
<v Speaker 7>you step back, four percent on a ten year is

0:13:34.080 --> 0:13:36.600
<v Speaker 7>very attractive. You know, you've got to go back to

0:13:36.800 --> 0:13:38.880
<v Speaker 7>the middle of the first decade of this century when

0:13:38.880 --> 0:13:41.960
<v Speaker 7>you had a consistent ten year around that four percent level.

0:13:42.200 --> 0:13:45.600
<v Speaker 7>So these are attractive yields for longer term investors. And

0:13:45.679 --> 0:13:47.200
<v Speaker 7>it means when you do get a wobble in the

0:13:47.200 --> 0:13:50.560
<v Speaker 7>equity market, we do get something happening in credit, then

0:13:51.080 --> 0:13:54.240
<v Speaker 7>that the trophy market, you know, reclaims its status as

0:13:54.280 --> 0:13:57.000
<v Speaker 7>being the defensive asset to hold, and it will rally.

0:13:57.040 --> 0:13:58.800
<v Speaker 7>And I think one of the problems the market's got

0:13:58.800 --> 0:14:00.800
<v Speaker 7>at the moment is that we had a very extensive

0:14:01.120 --> 0:14:03.599
<v Speaker 7>have and rally last a week ago Monday, when the

0:14:04.120 --> 0:14:07.520
<v Speaker 7>carry trade was being carried out to some extent, and

0:14:07.760 --> 0:14:11.360
<v Speaker 7>that's why yields fell so quickly and so sharply, and

0:14:11.360 --> 0:14:14.160
<v Speaker 7>you're now having to come back and sort of fired

0:14:14.200 --> 0:14:16.920
<v Speaker 7>an equilibrium. And it seems to me four percent on

0:14:17.000 --> 0:14:20.560
<v Speaker 7>twos and three nineties, maybe four percent on ten seemed

0:14:20.560 --> 0:14:21.560
<v Speaker 7>to be the right levels here.

0:14:21.920 --> 0:14:24.680
<v Speaker 3>Hey Michael, before we let you go, as we mentioned

0:14:24.680 --> 0:14:26.720
<v Speaker 3>at the top, you contributed to a story that is

0:14:26.760 --> 0:14:29.360
<v Speaker 3>among the most read on the Bloomberg terminal about how

0:14:29.440 --> 0:14:32.360
<v Speaker 3>bonds are back and increasingly money managers are hearing from

0:14:32.400 --> 0:14:36.440
<v Speaker 3>clients about investing in bonds. You talked to professional bond

0:14:36.480 --> 0:14:38.680
<v Speaker 3>investors each and every day, but talk a little bit

0:14:38.720 --> 0:14:41.200
<v Speaker 3>about how that's sort of going back to the everyday

0:14:41.320 --> 0:14:43.680
<v Speaker 3>investor who has their money managed by professionals.

0:14:45.400 --> 0:14:48.320
<v Speaker 7>Well, I mean the important thing form invest I think

0:14:48.360 --> 0:14:49.920
<v Speaker 7>a lot of people have liked the idea of putting

0:14:49.880 --> 0:14:50.880
<v Speaker 7>their money in tea bills.

0:14:51.160 --> 0:14:51.760
<v Speaker 8>You know what was it?

0:14:51.840 --> 0:14:53.840
<v Speaker 7>We had t bill and chill. That was the Jeff

0:14:53.880 --> 0:14:58.000
<v Speaker 7>Gunlack expression last year. But a lot of big bond

0:14:58.040 --> 0:15:01.640
<v Speaker 7>investors were telling me back in November December, Look, you've

0:15:01.640 --> 0:15:03.560
<v Speaker 7>got to take advantage of these treasure yields at five

0:15:03.560 --> 0:15:07.240
<v Speaker 7>percent because it won't cash rates won't stay at five

0:15:07.280 --> 0:15:09.960
<v Speaker 7>percent once the fair starts to cut again. And I

0:15:09.960 --> 0:15:12.920
<v Speaker 7>think they've been born out here, that thesis has been validated.

0:15:12.920 --> 0:15:15.800
<v Speaker 7>It's taken longer than people thought it would. Don't forget

0:15:15.800 --> 0:15:17.440
<v Speaker 7>everyone at the beginning of the year thought the SAT

0:15:17.480 --> 0:15:19.360
<v Speaker 7>would be cutting in March, and to a certain extent,

0:15:19.920 --> 0:15:23.800
<v Speaker 7>Chairpale did kind of hint that was coming. But that said,

0:15:24.120 --> 0:15:27.640
<v Speaker 7>you've now got treasure yields with four you know, four percent,

0:15:27.720 --> 0:15:30.360
<v Speaker 7>two s and below four percent and tens and fives.

0:15:30.760 --> 0:15:33.920
<v Speaker 7>So if you're still stuck in cash you're now sitting

0:15:33.960 --> 0:15:37.160
<v Speaker 7>on you know, you've got an opportunity loss here because

0:15:37.200 --> 0:15:40.440
<v Speaker 7>you could have rolled into a five percent two year

0:15:40.480 --> 0:15:44.640
<v Speaker 7>back in April, right, three four seventy five on tens

0:15:44.680 --> 0:15:47.280
<v Speaker 7>back in April. Okay, and again these bond managers saying,

0:15:47.320 --> 0:15:51.080
<v Speaker 7>you've got to start thinking about moving out. So I

0:15:51.080 --> 0:15:55.960
<v Speaker 7>think it now is time. So we had a record high.

0:15:55.720 --> 0:15:59.280
<v Speaker 1>And Michael, we got to run. Michael McKenzie, forgive me.

0:15:59.600 --> 0:15:59.880
<v Speaker 6>This is.

0:16:01.920 --> 0:16:05.800
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Listen live

0:16:05.880 --> 0:16:08.720
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0:16:08.840 --> 0:16:11.800
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0:16:11.840 --> 0:16:15.080
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0:16:15.160 --> 0:16:20.040
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0:16:21.840 --> 0:16:23.800
<v Speaker 1>Check your calendars. It was one week ago that we

0:16:23.840 --> 0:16:25.920
<v Speaker 1>had the market sell off, But it was also one

0:16:25.920 --> 0:16:29.000
<v Speaker 1>week ago that US District Court Judge am At Meta

0:16:29.160 --> 0:16:33.240
<v Speaker 1>ruled that Google had illegally monopolized the online search market.

0:16:33.240 --> 0:16:36.880
<v Speaker 1>The decision has serious ramifications for Alphabet's flagship business and

0:16:37.520 --> 0:16:40.200
<v Speaker 1>tremendous connotations for Apple as well. It's something we've been

0:16:40.200 --> 0:16:42.720
<v Speaker 1>talking about tim over the past week or so.

0:16:42.960 --> 0:16:44.640
<v Speaker 3>Yeah, much of the focus has been on what this

0:16:44.680 --> 0:16:47.600
<v Speaker 3>outcome means for Google's multi billion dollar payments to Apple

0:16:47.640 --> 0:16:51.000
<v Speaker 3>that ensure Google is the default search engine across iPhones

0:16:51.000 --> 0:16:53.920
<v Speaker 3>and iPads. But more pressing question may be what the

0:16:53.920 --> 0:16:57.000
<v Speaker 3>case itself signals for the US Department of Justices separate

0:16:57.000 --> 0:16:58.880
<v Speaker 3>anti trust lawsuit against Apple.

0:16:58.920 --> 0:17:00.640
<v Speaker 1>Bottom line, there's always a lot going on when it

0:17:00.640 --> 0:17:03.600
<v Speaker 1>comes to Apple and writing about Apple and it's cash prospects.

0:17:03.720 --> 0:17:06.160
<v Speaker 1>A new research that is out by him is Bloomberg

0:17:06.160 --> 0:17:09.040
<v Speaker 1>Intelligence Senior technology analyst to Ana Agrana. He joins us

0:17:09.080 --> 0:17:12.399
<v Speaker 1>from Chicago. Happy Monday, an A, rag you were busy

0:17:12.480 --> 0:17:15.159
<v Speaker 1>got some research out over the weekend. Help us make

0:17:15.240 --> 0:17:17.800
<v Speaker 1>some sense. First of all, in terms of if Alphabet

0:17:17.840 --> 0:17:20.360
<v Speaker 1>isn't making these payments to Apple, what does it mean

0:17:20.400 --> 0:17:23.440
<v Speaker 1>in terms of their cash flow and their cash because

0:17:23.480 --> 0:17:25.840
<v Speaker 1>you guys seem or you seem pretty upbeat about it

0:17:26.560 --> 0:17:27.760
<v Speaker 1>or at least their prospects.

0:17:28.440 --> 0:17:31.480
<v Speaker 9>Yeah, so if you were to, you know, wait and

0:17:31.520 --> 0:17:34.120
<v Speaker 9>see what happens with this particular case. When you look

0:17:34.119 --> 0:17:37.520
<v Speaker 9>at Apple's score business, it's doing very well, even though

0:17:37.560 --> 0:17:39.960
<v Speaker 9>the top line is not growing in double digits like

0:17:40.040 --> 0:17:42.359
<v Speaker 9>it's used to a few years ago. But even with

0:17:42.440 --> 0:17:45.639
<v Speaker 9>five to seven percent growth type cost control, you know,

0:17:45.720 --> 0:17:48.040
<v Speaker 9>this company is generating enough free cash. I think the

0:17:48.080 --> 0:17:49.960
<v Speaker 9>biggest thing what we are trying to point out is

0:17:50.280 --> 0:17:53.679
<v Speaker 9>when you look at the other large tech companies. You know,

0:17:53.760 --> 0:17:57.360
<v Speaker 9>somebody like a Microsoft or an AWS, they are going

0:17:57.400 --> 0:18:00.000
<v Speaker 9>to spend billions of dollars over the next few week

0:18:00.080 --> 0:18:04.000
<v Speaker 9>years in order to expand their cloud data centers, invest

0:18:04.040 --> 0:18:07.040
<v Speaker 9>in AI. But in the case of Apple, I think

0:18:07.040 --> 0:18:09.359
<v Speaker 9>they're the ones they're going to stand out over the

0:18:09.400 --> 0:18:11.679
<v Speaker 9>next twelve to twenty four months because they are not

0:18:11.800 --> 0:18:14.000
<v Speaker 9>doing that same level of spending because they.

0:18:13.880 --> 0:18:15.160
<v Speaker 3>Don't have that kind of business.

0:18:15.520 --> 0:18:15.680
<v Speaker 1>Now.

0:18:15.680 --> 0:18:18.000
<v Speaker 9>The Google case you brought up is an important point,

0:18:18.040 --> 0:18:20.880
<v Speaker 9>and that's a big risk for Apple, But we're still

0:18:20.880 --> 0:18:23.040
<v Speaker 9>far away to figure out what the remedies are going

0:18:23.080 --> 0:18:26.240
<v Speaker 9>to be as long as there is no binding. If

0:18:26.320 --> 0:18:29.720
<v Speaker 9>Google and Apple can renegotiate and figure out if people

0:18:29.720 --> 0:18:32.320
<v Speaker 9>get choices, I think there is chances that they can

0:18:33.119 --> 0:18:36.480
<v Speaker 9>salvage some of that particular twenty billion dollar revenue that

0:18:36.520 --> 0:18:39.520
<v Speaker 9>comes in now if they are able to. If the

0:18:39.800 --> 0:18:42.000
<v Speaker 9>judge comes out and say, well, you cannot pay them anything,

0:18:42.440 --> 0:18:44.720
<v Speaker 9>then that's a problem. But even in that case, I

0:18:44.720 --> 0:18:46.919
<v Speaker 9>think it will be a few years before Apple can

0:18:46.960 --> 0:18:48.240
<v Speaker 9>make up for that revenue loss.

0:18:48.320 --> 0:18:49.920
<v Speaker 3>I want to go back to this idea of Apple

0:18:50.000 --> 0:18:52.680
<v Speaker 3>not having to make those huge CAPEX investments in AI

0:18:52.880 --> 0:18:55.640
<v Speaker 3>like Microsoft and Amazon have to do when it comes

0:18:55.680 --> 0:19:00.320
<v Speaker 3>to infrastructure and actually building out these facilities on a rock.

0:19:01.200 --> 0:19:04.040
<v Speaker 3>Is it a risk for Apple that they're partnering instead

0:19:04.160 --> 0:19:07.080
<v Speaker 3>with other companies that are making these investments and not

0:19:07.119 --> 0:19:11.120
<v Speaker 3>doing them themselves. Is there a chance that they could

0:19:11.440 --> 0:19:14.359
<v Speaker 3>run into an issue with a platform taking off that's

0:19:14.440 --> 0:19:15.440
<v Speaker 3>not their own platform.

0:19:16.480 --> 0:19:18.960
<v Speaker 9>Yeah. See, they're on the device business in all honesty.

0:19:18.960 --> 0:19:20.760
<v Speaker 9>When you look at the iPhone, they're really not into

0:19:20.800 --> 0:19:24.520
<v Speaker 9>cloud computing or giving people infrastructure to build their application.

0:19:24.640 --> 0:19:27.600
<v Speaker 9>So that's a completely different equation in my view. It's

0:19:27.640 --> 0:19:29.879
<v Speaker 9>like you know, getting electricity you really don't need to

0:19:29.920 --> 0:19:33.560
<v Speaker 9>own your own generators in order to get electricity. So

0:19:33.640 --> 0:19:36.399
<v Speaker 9>when you look at Apple, they're basically saying in the

0:19:36.440 --> 0:19:38.720
<v Speaker 9>same case what they have with Google, they don't want

0:19:38.720 --> 0:19:39.960
<v Speaker 9>to be in that search business.

0:19:40.040 --> 0:19:40.760
<v Speaker 6>They're going to go.

0:19:40.760 --> 0:19:43.000
<v Speaker 9>Try to get a partnership with anybody who has the

0:19:43.000 --> 0:19:45.280
<v Speaker 9>best search business right now, and they will put that

0:19:45.320 --> 0:19:45.919
<v Speaker 9>on their phones.

0:19:46.200 --> 0:19:47.320
<v Speaker 3>That would open Ai.

0:19:47.520 --> 0:19:49.200
<v Speaker 9>They went out and talked to a bunch of people

0:19:49.200 --> 0:19:51.840
<v Speaker 9>and says, who has the best large language model that

0:19:51.880 --> 0:19:54.879
<v Speaker 9>would work well on their iPhone and they chose up to,

0:19:55.040 --> 0:19:56.880
<v Speaker 9>you know, open Ai to be one of their partners.

0:19:57.119 --> 0:20:00.000
<v Speaker 9>So that's part of their business model, and that's part

0:20:00.200 --> 0:20:02.400
<v Speaker 9>the reasons why they don't need to spend that much

0:20:02.400 --> 0:20:03.000
<v Speaker 9>in Capex.

0:20:03.240 --> 0:20:05.480
<v Speaker 1>You know, it's interesting. We talked with David Weston, who

0:20:05.640 --> 0:20:07.520
<v Speaker 1>is a lawyer and spent a lot of time doing

0:20:07.560 --> 0:20:11.000
<v Speaker 1>anti trust work specifically, and I do wonder about some

0:20:11.040 --> 0:20:15.200
<v Speaker 1>of these big technology companies ana rog that they are

0:20:15.359 --> 0:20:18.679
<v Speaker 1>successful at what they do and is that a crime

0:20:18.760 --> 0:20:21.399
<v Speaker 1>that just because you're good at what you do. And

0:20:21.480 --> 0:20:23.800
<v Speaker 1>I was actually having a conversation with one of my

0:20:23.840 --> 0:20:26.879
<v Speaker 1>sisters this week and we were talking about Google, and

0:20:26.920 --> 0:20:29.280
<v Speaker 1>I'm like, but do you use you know, do you

0:20:29.359 --> 0:20:31.560
<v Speaker 1>try any other kind of search engines? Like Nope, because

0:20:31.560 --> 0:20:34.480
<v Speaker 1>Google like just works so well. So like when is

0:20:34.480 --> 0:20:36.280
<v Speaker 1>it a crime that you are really good at what

0:20:36.320 --> 0:20:38.600
<v Speaker 1>you do and you just become big because of that?

0:20:38.680 --> 0:20:42.320
<v Speaker 1>Like how do we figure out, you know, when it

0:20:42.440 --> 0:20:44.800
<v Speaker 1>is an anti trust issue and when it's not.

0:20:45.920 --> 0:20:48.480
<v Speaker 9>Yeah, I think see, all these companies are generating billions

0:20:48.520 --> 0:20:50.800
<v Speaker 9>and billions and dollars of free cash flow, which really

0:20:50.840 --> 0:20:53.880
<v Speaker 9>will attract a lot of lawyers. As you can imagine. Now,

0:20:53.960 --> 0:20:57.199
<v Speaker 9>let's say the case of iPhone. If tomorrow when I

0:20:57.359 --> 0:21:00.639
<v Speaker 9>turn on my iOS or I install a brand new system,

0:21:01.000 --> 0:21:03.199
<v Speaker 9>it'll ask me which search indind do you want to use.

0:21:03.240 --> 0:21:05.960
<v Speaker 9>It's going to give me six choices more like most

0:21:06.000 --> 0:21:08.399
<v Speaker 9>likely or not. I'm going to pick Google, and that

0:21:08.720 --> 0:21:11.000
<v Speaker 9>is going to help Google. I think the bigger question

0:21:11.040 --> 0:21:13.280
<v Speaker 9>in this all equation is you know what happens to

0:21:13.320 --> 0:21:14.440
<v Speaker 9>that payment that's happening.

0:21:15.200 --> 0:21:17.919
<v Speaker 3>Well, that's why you know, I think sort of counterintuitively,

0:21:18.440 --> 0:21:21.280
<v Speaker 3>couldn't this actually be a great thing for Google if

0:21:21.600 --> 0:21:25.320
<v Speaker 3>people end up using Google and choosing Google because they're

0:21:25.359 --> 0:21:27.520
<v Speaker 3>not choosing a competitor. But then Google doesn't have to

0:21:27.560 --> 0:21:30.560
<v Speaker 3>make these payments to Apple that's just like icing on

0:21:30.560 --> 0:21:32.399
<v Speaker 3>the cake. Is this could be a big win for

0:21:32.440 --> 0:21:34.560
<v Speaker 3>alphabet right, yeah, yeah, exactly.

0:21:34.600 --> 0:21:37.800
<v Speaker 9>I mean that's what I'm saying that in this entire case,

0:21:37.800 --> 0:21:40.679
<v Speaker 9>it's Apple who's going to lose. But here's my counter argument.

0:21:41.040 --> 0:21:43.440
<v Speaker 9>Is my counter argument to that, Apple is a company with,

0:21:43.600 --> 0:21:45.760
<v Speaker 9>as I said, over one hundred billion in free calf flow.

0:21:46.080 --> 0:21:48.280
<v Speaker 9>If they really wanted to fight Google and Search, they

0:21:48.320 --> 0:21:50.040
<v Speaker 9>can do it. They can go and acquire a small

0:21:50.160 --> 0:21:53.399
<v Speaker 9>vendor and use that in their pipeline. Remember, they ConTroll

0:21:53.480 --> 0:21:56.800
<v Speaker 9>distribution of two point two billion devices. Google's going to

0:21:56.880 --> 0:21:59.560
<v Speaker 9>lose a lot of market share if it doesn't play

0:21:59.640 --> 0:22:02.760
<v Speaker 9>nice with Apple, and so, you know, I get it

0:22:02.800 --> 0:22:05.760
<v Speaker 9>that in the short term they will be you could say,

0:22:05.760 --> 0:22:08.240
<v Speaker 9>benefit from it, But I don't think they would want

0:22:08.240 --> 0:22:10.040
<v Speaker 9>to pick a fight with Apple on this one.

0:22:10.280 --> 0:22:13.560
<v Speaker 1>Interesting the anti trust case case though against Apple by

0:22:13.560 --> 0:22:16.960
<v Speaker 1>the Department of Justice, they say to classify Apple as

0:22:16.960 --> 0:22:20.160
<v Speaker 1>a monopolis. The government attorney's carved out its relevant product

0:22:20.160 --> 0:22:24.280
<v Speaker 1>market is only including premium smartphones, a segment apparently distinc

0:22:24.320 --> 0:22:27.120
<v Speaker 1>from entry level and less expensive gadgets. I mean, it's

0:22:27.160 --> 0:22:29.320
<v Speaker 1>kind of like you're dicing and slicing the market here.

0:22:29.240 --> 0:22:31.600
<v Speaker 9>Right, yeah, yeah, yeah, So when you look at Apple's

0:22:31.760 --> 0:22:35.080
<v Speaker 9>entire so there are roughly about five plus billion smartphones

0:22:35.119 --> 0:22:38.240
<v Speaker 9>in the world, and Apple's market chair is roughly about

0:22:38.280 --> 0:22:40.719
<v Speaker 9>twenty percent or one billion. But yeah, you could make

0:22:40.800 --> 0:22:43.360
<v Speaker 9>the argument if if it was only the expensive category.

0:22:43.560 --> 0:22:45.520
<v Speaker 9>You know, they have over fifty percent of the market share.

0:22:45.640 --> 0:22:47.359
<v Speaker 9>But there are only two players out there. Either it's

0:22:47.400 --> 0:22:49.640
<v Speaker 9>Samsung or it's Apple. There you know, there isn't really

0:22:49.720 --> 0:22:52.320
<v Speaker 9>a big third player in the premium market that anybody

0:22:52.320 --> 0:22:54.520
<v Speaker 9>wants to deal with. But you know, we think twenty

0:22:54.560 --> 0:22:57.560
<v Speaker 9>percent of the market share in the global smartphone market.

0:22:57.720 --> 0:23:00.160
<v Speaker 9>That really is the big case for Apple, which is

0:23:00.400 --> 0:23:03.240
<v Speaker 9>as people become more affluent, they will go out and

0:23:03.280 --> 0:23:06.159
<v Speaker 9>get Apple Basicus. It's an aspirational brand for people in

0:23:06.200 --> 0:23:08.600
<v Speaker 9>emerging markets. It's really the place you want to be.

0:23:08.920 --> 0:23:11.320
<v Speaker 9>But in most cases you don't even qualify to buy

0:23:11.359 --> 0:23:13.520
<v Speaker 9>that product because it's so expensive.

0:23:14.160 --> 0:23:16.760
<v Speaker 1>Well, and the thing about you know, Apple, with these

0:23:16.840 --> 0:23:20.560
<v Speaker 1>large language models and all of the AI that's being done,

0:23:20.760 --> 0:23:23.160
<v Speaker 1>I guess do they not care? Go ahead and everybody else,

0:23:23.280 --> 0:23:25.640
<v Speaker 1>you spend money, you develop it, and then we'll give

0:23:25.680 --> 0:23:28.000
<v Speaker 1>you the device that people can play with it on.

0:23:28.160 --> 0:23:29.159
<v Speaker 1>Is that what it's all about.

0:23:30.000 --> 0:23:31.280
<v Speaker 9>Yeah, But in the you know, if I was to

0:23:31.320 --> 0:23:33.600
<v Speaker 9>take the other argument of it is, if they started

0:23:33.600 --> 0:23:36.280
<v Speaker 9>doing everything else, then people will say, well, they're using

0:23:36.280 --> 0:23:39.639
<v Speaker 9>their distribution to unfairly you know, push their own product. Right.

0:23:39.680 --> 0:23:42.560
<v Speaker 9>They're basically saying, if you build the best product out there,

0:23:42.680 --> 0:23:44.439
<v Speaker 9>we will use it, and we will use it on

0:23:44.480 --> 0:23:47.280
<v Speaker 9>the merit of the product. In this particular case, they

0:23:47.280 --> 0:23:49.720
<v Speaker 9>didn't go out and picked you know, Google's Gemini on

0:23:49.880 --> 0:23:52.520
<v Speaker 9>round one. I think it's there's down the road. I

0:23:52.520 --> 0:23:55.359
<v Speaker 9>think it may happen. But they chose open Ai because

0:23:55.359 --> 0:23:58.240
<v Speaker 9>they have at this point the best large language model

0:23:58.280 --> 0:23:58.720
<v Speaker 9>out there.

0:23:59.160 --> 0:24:02.400
<v Speaker 3>Okay, speaking of the Apple being a device company, it's

0:24:02.440 --> 0:24:06.640
<v Speaker 3>the iPhone company. No question, the iPhone sixteen likely will

0:24:06.640 --> 0:24:08.960
<v Speaker 3>see it unveiled in just a few weeks.

0:24:08.960 --> 0:24:11.760
<v Speaker 1>I was getting ready and thinking really hard, so was

0:24:11.800 --> 0:24:15.720
<v Speaker 1>Paul Sweeney, like replacing my phone come later this year,

0:24:15.720 --> 0:24:17.080
<v Speaker 1>And now I'm thinking maybe I shouldn't.

0:24:17.240 --> 0:24:19.040
<v Speaker 3>Well, that's the big question. Because Mark German out with

0:24:19.080 --> 0:24:21.040
<v Speaker 3>his Power on newsletter over the weekend on it rog

0:24:21.080 --> 0:24:23.760
<v Speaker 3>talking about how this is perhaps one of those stopgap

0:24:23.800 --> 0:24:26.680
<v Speaker 3>models that gives people a bridge. The next one perhaps

0:24:26.720 --> 0:24:28.919
<v Speaker 3>doesn't get people to do an upgrade super cycle. How

0:24:28.960 --> 0:24:31.760
<v Speaker 3>are you thinking about it at Bloomberg Intelligence, Yeah.

0:24:31.600 --> 0:24:33.520
<v Speaker 9>In a similar way. We don't think it's going to

0:24:33.680 --> 0:24:36.239
<v Speaker 9>have a massive layout in year one. Over a three

0:24:36.320 --> 0:24:38.879
<v Speaker 9>year period, I think it's going to help, but at

0:24:38.920 --> 0:24:42.240
<v Speaker 9>this point we don't have We are looking at maybe

0:24:42.280 --> 0:24:45.280
<v Speaker 9>a five percent bump in total unit ship and sold

0:24:45.560 --> 0:24:48.080
<v Speaker 9>next to the at FI twenty five over Fi twenty four,

0:24:48.280 --> 0:24:50.760
<v Speaker 9>and that's because the last two has been kind of weak.

0:24:51.240 --> 0:24:54.840
<v Speaker 9>The Apple's installed by Base moves at a setic certain rate,

0:24:55.200 --> 0:24:58.080
<v Speaker 9>and you refresh your phone when to be honest, when

0:24:58.080 --> 0:25:00.480
<v Speaker 9>the battery runs out. That number you to be three

0:25:00.520 --> 0:25:02.920
<v Speaker 9>point six years for a few years, but it's been

0:25:02.960 --> 0:25:05.680
<v Speaker 9>extended closer to four years at this point. So at

0:25:05.720 --> 0:25:09.679
<v Speaker 9>an average globally out of that one billion phones I

0:25:09.720 --> 0:25:12.159
<v Speaker 9>talked about, people refresh at every four year. So I

0:25:12.200 --> 0:25:14.359
<v Speaker 9>think that is what we're going to see. We're not

0:25:14.400 --> 0:25:16.120
<v Speaker 9>going to see a massive bump because of AI.

0:25:16.480 --> 0:25:19.159
<v Speaker 1>All right, just to wrap up here, as you know,

0:25:19.200 --> 0:25:21.480
<v Speaker 1>we're over the hump, if you will, in terms of

0:25:21.880 --> 0:25:25.399
<v Speaker 1>half of twenty twenty four already over. How are you

0:25:25.400 --> 0:25:27.200
<v Speaker 1>thinking about the rest of the year when it comes

0:25:27.240 --> 0:25:30.240
<v Speaker 1>to technology in terms of some of the big major themes,

0:25:30.240 --> 0:25:33.240
<v Speaker 1>whether it's AI, CAPEX expending. Are we going to see

0:25:33.280 --> 0:25:37.240
<v Speaker 1>more kind of worrisome notes or worrisome updates or do

0:25:37.320 --> 0:25:39.320
<v Speaker 1>you feel pretty confident about the rest of the year.

0:25:40.240 --> 0:25:42.359
<v Speaker 9>See, I think from a fundamental point of view, this

0:25:42.480 --> 0:25:44.040
<v Speaker 9>is going to be fine. I mean, I don't see

0:25:44.080 --> 0:25:47.280
<v Speaker 9>any reason why the big tech companies, whether it's Microsoft

0:25:47.320 --> 0:25:50.680
<v Speaker 9>or whether it's you know, Amazon Web Services, their core

0:25:50.760 --> 0:25:53.560
<v Speaker 9>business is strong and NOO will remain. The stock reaction

0:25:53.680 --> 0:25:56.000
<v Speaker 9>is a very different game because that depends on interest

0:25:56.080 --> 0:25:59.119
<v Speaker 9>rates and so many other factors, and that's really you know,

0:25:59.320 --> 0:26:02.080
<v Speaker 9>we'll see what happens with that. But at the same time,

0:26:02.520 --> 0:26:04.960
<v Speaker 9>they will spend that a lot of money in order

0:26:05.000 --> 0:26:08.520
<v Speaker 9>to beef up their capacity so that they can grow

0:26:08.640 --> 0:26:10.600
<v Speaker 9>over the next three to five years. I think that

0:26:10.760 --> 0:26:13.320
<v Speaker 9>is really, in our view, a good long term play,

0:26:13.560 --> 0:26:15.320
<v Speaker 9>but in the short term it may have its ups

0:26:15.320 --> 0:26:15.760
<v Speaker 9>and downs.

0:26:15.760 --> 0:26:17.880
<v Speaker 1>All right, got it? Listen Anerrog, thank you so much,

0:26:17.960 --> 0:26:20.520
<v Speaker 1>really appreciate it. Ana ro Grana, he's our Bloomberg Intelligence

0:26:20.560 --> 0:26:23.600
<v Speaker 1>senior technology analyst joining us from Chicago.

0:26:24.560 --> 0:26:28.120
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:26:28.119 --> 0:26:31.399
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

0:26:31.400 --> 0:26:33.560
<v Speaker 2>on Apple car Play and then Brout Auto with a

0:26:33.600 --> 0:26:38.760
<v Speaker 2>Bloomberg Business app or watch us live on YouTube.

0:26:40.040 --> 0:26:41.880
<v Speaker 3>Carol, I don't know if you caught this article from

0:26:42.040 --> 0:26:43.920
<v Speaker 3>Sagel Kashan a few weeks ago. It was about the

0:26:44.040 --> 0:26:46.640
<v Speaker 3>changing view of ESG. We've talked about this a lot

0:26:46.680 --> 0:26:49.879
<v Speaker 3>over the last eighteen minds two years or so, he

0:26:49.920 --> 0:26:52.960
<v Speaker 3>wrote that quote. The red carpet is being formally rolled

0:26:53.040 --> 0:26:57.000
<v Speaker 3>up for the three letters ESG, at least over at II.

0:26:57.119 --> 0:26:59.919
<v Speaker 3>The fifty seven year old organization has dropped the label

0:27:00.359 --> 0:27:04.200
<v Speaker 3>short for Environmental, Social and Governance from its annual analyst rankings.

0:27:04.280 --> 0:27:07.560
<v Speaker 1>Yeah, there's been such pushback against the kind of labeling.

0:27:07.800 --> 0:27:10.919
<v Speaker 1>In its place, it's sustainability, a cineym many banks and

0:27:10.960 --> 0:27:14.760
<v Speaker 1>money managers are using instead, amid the increasingly politicized debate

0:27:14.800 --> 0:27:18.000
<v Speaker 1>over climate change and corporate diversity in the United States.

0:27:18.359 --> 0:27:20.800
<v Speaker 1>What a change if you go back, I feel like

0:27:20.840 --> 0:27:23.520
<v Speaker 1>ten fifteen years where there's been so much emphasis and

0:27:23.560 --> 0:27:25.719
<v Speaker 1>a movement towards this ESG labeling.

0:27:25.840 --> 0:27:28.000
<v Speaker 3>Yeah. Curious what Bud Sturmac has to say about all this.

0:27:28.080 --> 0:27:30.360
<v Speaker 3>He's partner and head of Impact Investing over at Paragon

0:27:30.400 --> 0:27:33.879
<v Speaker 3>Wealth Management. He joins us here in the Bloomberg Interactive

0:27:34.000 --> 0:27:37.639
<v Speaker 3>Brokers studio. Paragon has about eight billion dollars in assets

0:27:38.000 --> 0:27:39.359
<v Speaker 3>under management. Bud, how are you?

0:27:39.560 --> 0:27:40.960
<v Speaker 8>I'm good? Thanks so much for having me.

0:27:41.119 --> 0:27:43.840
<v Speaker 3>So you guys are kind of leaning into ESG when

0:27:43.880 --> 0:27:46.680
<v Speaker 3>others are pulling back a little bit. Talk a little

0:27:46.680 --> 0:27:47.480
<v Speaker 3>bit about why that is.

0:27:48.200 --> 0:27:52.560
<v Speaker 8>Yeah, I think we're in an era of personalization and

0:27:52.760 --> 0:27:56.840
<v Speaker 8>whether it's how we consume television or music, or where

0:27:56.840 --> 0:27:58.840
<v Speaker 8>we buy groceries or what kind of car we drive.

0:27:59.040 --> 0:28:02.080
<v Speaker 8>I think you're seeing that at start to evolve investing.

0:28:02.520 --> 0:28:06.719
<v Speaker 8>And so what Paragon stands for is empowering our clients

0:28:06.720 --> 0:28:10.960
<v Speaker 8>with choice. And we think it's important to include in

0:28:11.000 --> 0:28:15.520
<v Speaker 8>our client onboarding process questions about understanding what values our

0:28:15.520 --> 0:28:16.600
<v Speaker 8>clients bring to the table.

0:28:17.320 --> 0:28:19.440
<v Speaker 3>These are values that clients bring to the table. Yes,

0:28:20.040 --> 0:28:20.760
<v Speaker 3>what do you mean by that?

0:28:21.040 --> 0:28:24.720
<v Speaker 8>So you know, as well as understanding client goals, financial planning,

0:28:24.760 --> 0:28:28.720
<v Speaker 8>and understanding their investments, what do they care about most?

0:28:29.040 --> 0:28:31.960
<v Speaker 8>Is it climate change? Is it gender equality? Is it

0:28:32.040 --> 0:28:32.679
<v Speaker 8>racial equality?

0:28:32.680 --> 0:28:34.600
<v Speaker 3>If those things are what if they only care about returns,

0:28:34.680 --> 0:28:37.240
<v Speaker 3>that's fine, Yeah, they don't care about any of the

0:28:37.280 --> 0:28:37.840
<v Speaker 3>other stuff.

0:28:38.120 --> 0:28:40.800
<v Speaker 8>That's totally okay, But we think it's important in this

0:28:40.880 --> 0:28:42.800
<v Speaker 8>day and age that we ask the question because it

0:28:42.840 --> 0:28:47.320
<v Speaker 8>brings a whole other layer of the ability for clients

0:28:47.320 --> 0:28:49.720
<v Speaker 8>to connect with their portfolio if that's something that they

0:28:49.720 --> 0:28:50.760
<v Speaker 8>believe passionately about.

0:28:51.000 --> 0:28:53.080
<v Speaker 1>But you know, if you build it, they will come

0:28:53.360 --> 0:28:56.120
<v Speaker 1>that kind of thinking. So I guess my question is,

0:28:56.480 --> 0:29:00.680
<v Speaker 1>are your clients still saying, Hey, we like this SG thing,

0:29:00.720 --> 0:29:02.800
<v Speaker 1>we get it, we understand, we want to commit money

0:29:02.800 --> 0:29:03.120
<v Speaker 1>to it.

0:29:04.040 --> 0:29:05.840
<v Speaker 8>The answer is yes. But I also think that you

0:29:05.920 --> 0:29:08.480
<v Speaker 8>hit on something before, which is people are moving away

0:29:08.480 --> 0:29:12.400
<v Speaker 8>from the term ESG, so sustainable investing values based investing.

0:29:13.520 --> 0:29:17.200
<v Speaker 8>We're not like regularly using the term ESG. Again, I

0:29:17.240 --> 0:29:19.400
<v Speaker 8>think it comes back to client values. What do they

0:29:19.400 --> 0:29:20.080
<v Speaker 8>care about most?

0:29:20.360 --> 0:29:20.560
<v Speaker 4>What?

0:29:20.840 --> 0:29:23.640
<v Speaker 1>So where did ESG get it wrong? Like? What is

0:29:23.640 --> 0:29:26.320
<v Speaker 1>it that? It's just kind of mind blowing how much

0:29:26.400 --> 0:29:30.520
<v Speaker 1>time and energy and money we spent talking about it

0:29:30.920 --> 0:29:32.960
<v Speaker 1>and then now it's kind of getting Although things evolve

0:29:33.000 --> 0:29:35.520
<v Speaker 1>and sometimes things come out better on the other side,

0:29:35.600 --> 0:29:37.120
<v Speaker 1>But so what happened?

0:29:37.240 --> 0:29:41.160
<v Speaker 8>It's funny because ESG really is research, it's data. Yeah,

0:29:41.200 --> 0:29:46.000
<v Speaker 8>and the term sort of got turned into investing which

0:29:46.040 --> 0:29:49.360
<v Speaker 8>it's really not. It's a tool, right, So I think.

0:29:49.600 --> 0:29:54.640
<v Speaker 1>It's vulnerabilities, isn't it, like, yeah, climate exposure? Right exactly.

0:29:54.880 --> 0:29:58.000
<v Speaker 8>Yeah. I think where it sort of went awry is

0:29:59.040 --> 0:30:03.520
<v Speaker 8>maybe two things on the investing Within the investing landscape,

0:30:03.520 --> 0:30:07.480
<v Speaker 8>you have mutual funds and ETFs that label themselves ESG

0:30:07.600 --> 0:30:11.560
<v Speaker 8>or sustainable, and when a client is buying into that fund,

0:30:11.640 --> 0:30:14.440
<v Speaker 8>they're sort of having to adopt whatever the fund manager's

0:30:14.560 --> 0:30:19.560
<v Speaker 8>view on sustainability is. The client may agree with that view,

0:30:19.680 --> 0:30:23.760
<v Speaker 8>it may not. And so then you have the ESG

0:30:23.960 --> 0:30:29.080
<v Speaker 8>data companies, Right, they're taking very complex E S and

0:30:29.320 --> 0:30:31.600
<v Speaker 8>G data and they're trying to wrap that up into

0:30:31.640 --> 0:30:35.200
<v Speaker 8>a nice score that everybody can say, oh, this is

0:30:35.240 --> 0:30:38.200
<v Speaker 8>a very sustainable company. This is not the problem with

0:30:38.240 --> 0:30:40.920
<v Speaker 8>that is is that the es and the G data,

0:30:41.880 --> 0:30:45.160
<v Speaker 8>those data points might actually be very accurate and succinct,

0:30:45.600 --> 0:30:49.600
<v Speaker 8>but wrapping them into a nice need score invites subjectivity

0:30:49.800 --> 0:30:51.240
<v Speaker 8>and so well.

0:30:51.120 --> 0:30:54.080
<v Speaker 1>Governance might be easier than environment, like some of it

0:30:54.160 --> 0:30:55.680
<v Speaker 1>might be easier to measure than others.

0:30:55.760 --> 0:30:58.480
<v Speaker 8>Right, Also, I think that's true, but trying to wrap

0:30:58.520 --> 0:31:01.160
<v Speaker 8>it up into a nice need score what you're and

0:31:01.200 --> 0:31:04.200
<v Speaker 8>the criticism that was invited from that was that, oh,

0:31:04.320 --> 0:31:08.120
<v Speaker 8>this ESG data company rates Tesla very high, while this

0:31:08.360 --> 0:31:11.479
<v Speaker 8>ESG data company rates it low, and that you know this,

0:31:11.880 --> 0:31:16.080
<v Speaker 8>and it basically brought in criticism of ESG in general.

0:31:16.280 --> 0:31:19.280
<v Speaker 3>Well, maybe the E is a positive for some for

0:31:19.520 --> 0:31:21.440
<v Speaker 3>some of these and when it comes to data, but

0:31:21.480 --> 0:31:24.240
<v Speaker 3>the G when it comes to governance and who's on

0:31:24.320 --> 0:31:28.040
<v Speaker 3>Tesla's board, for example, doesn't necessarily pass muster for this

0:31:28.120 --> 0:31:30.680
<v Speaker 3>other organization, just for example. I mean, the ES and

0:31:30.760 --> 0:31:32.480
<v Speaker 3>G are three completely different things.

0:31:32.680 --> 0:31:34.640
<v Speaker 8>That's exactly right. And I think that.

0:31:34.680 --> 0:31:36.440
<v Speaker 3>Maybe some people would have problem with the social part

0:31:36.440 --> 0:31:36.680
<v Speaker 3>of it.

0:31:37.440 --> 0:31:40.400
<v Speaker 8>Yes, And so when we're talking about bringing it back

0:31:40.440 --> 0:31:43.320
<v Speaker 8>to what the client cares about, then you have an

0:31:43.320 --> 0:31:46.840
<v Speaker 8>opportunity to say, Okay, this client cares about the environment,

0:31:47.200 --> 0:31:49.840
<v Speaker 8>so maybe Tesla would be in the in the portfolio,

0:31:50.240 --> 0:31:54.800
<v Speaker 8>or this client cares mostly about gender equality. So you know,

0:31:55.080 --> 0:31:58.240
<v Speaker 8>you're applying a different lens. It's what the client cares about,

0:31:58.280 --> 0:32:01.840
<v Speaker 8>and it's building the portfolio stock by stock around exactly

0:32:02.120 --> 0:32:02.520
<v Speaker 8>that client.

0:32:02.560 --> 0:32:03.719
<v Speaker 1>So it's a true customization.

0:32:03.880 --> 0:32:05.160
<v Speaker 8>Yes, so here's what you like.

0:32:05.520 --> 0:32:08.760
<v Speaker 1>I'm going to go find companies that meet those metrics.

0:32:08.920 --> 0:32:12.360
<v Speaker 1>If those companies don't perform, don't put them in my portfolio.

0:32:12.800 --> 0:32:16.160
<v Speaker 1>Is it as simple as that, Well, it's really like

0:32:16.240 --> 0:32:17.800
<v Speaker 1>what's the balance, and it's.

0:32:17.720 --> 0:32:20.680
<v Speaker 8>Trying to It is trying to mirror the index performance. So,

0:32:20.680 --> 0:32:22.640
<v Speaker 8>whether you're talking about an S and P five hundred

0:32:22.720 --> 0:32:25.840
<v Speaker 8>or a Russell one thousand or whatever your underlying index is,

0:32:26.240 --> 0:32:29.640
<v Speaker 8>you're still mostly owning the industries and the industry waitings,

0:32:29.800 --> 0:32:34.400
<v Speaker 8>but you're tilting away from the worst companies that the

0:32:34.440 --> 0:32:38.560
<v Speaker 8>client would disagree with. Yeah, and you're recreating the index,

0:32:38.640 --> 0:32:41.960
<v Speaker 8>so it does. Yes, you're inviting tracking error. If a

0:32:42.000 --> 0:32:45.560
<v Speaker 8>client really is like Adamant, I don't want several different

0:32:45.560 --> 0:32:48.360
<v Speaker 8>industries or exposures to you could increase the tracking air

0:32:48.400 --> 0:32:50.880
<v Speaker 8>a little bit, but most of what we've seen has

0:32:50.920 --> 0:32:55.040
<v Speaker 8>been that the underlying portfolios do closely track the performance

0:32:55.080 --> 0:32:55.680
<v Speaker 8>of the index.

0:32:56.080 --> 0:33:00.840
<v Speaker 3>Does it make it so oil companies are just not

0:33:00.920 --> 0:33:04.000
<v Speaker 3>in there because they don't have the E part of ESG.

0:33:04.360 --> 0:33:06.640
<v Speaker 8>If it was a climate change focus for a client,

0:33:06.920 --> 0:33:09.440
<v Speaker 8>or the E was the most important factor, then most

0:33:09.520 --> 0:33:12.200
<v Speaker 8>likely those would not be included in the portfolio.

0:33:12.280 --> 0:33:15.520
<v Speaker 1>But an automaker, that's still it's a lot of you know,

0:33:15.960 --> 0:33:20.120
<v Speaker 1>traditional still gas burning cars, but they're increasingly moving into

0:33:20.160 --> 0:33:23.800
<v Speaker 1>ev like do you have a conversation with an investor

0:33:24.120 --> 0:33:26.840
<v Speaker 1>or yeah? Like how does something like that?

0:33:27.320 --> 0:33:34.080
<v Speaker 8>Yeah, so we're not making the investment decisions necessarily. We're

0:33:34.240 --> 0:33:37.640
<v Speaker 8>hiring outside managers to do that, and they have very

0:33:39.600 --> 0:33:44.000
<v Speaker 8>finite data that can bring more to light in that conversation,

0:33:44.120 --> 0:33:47.280
<v Speaker 8>and we can have that conversation with a client. But

0:33:47.400 --> 0:33:50.480
<v Speaker 8>the data really is quite good, and we can show clients,

0:33:50.840 --> 0:33:54.160
<v Speaker 8>you know, here's the companies that would fall into the portfolio,

0:33:54.240 --> 0:33:55.520
<v Speaker 8>and here's what would be cut out. How do you

0:33:55.560 --> 0:33:56.240
<v Speaker 8>feel about that?

0:33:56.360 --> 0:33:58.360
<v Speaker 1>So it's that specific and you can kind of pick

0:33:58.360 --> 0:33:58.760
<v Speaker 1>and choose.

0:33:58.840 --> 0:34:02.160
<v Speaker 3>Yes, is the the objective you said is to match

0:34:02.400 --> 0:34:05.160
<v Speaker 3>the major indices rather than beat them.

0:34:05.400 --> 0:34:08.000
<v Speaker 8>Yeah, it's really the track this is, this is it's

0:34:08.040 --> 0:34:09.200
<v Speaker 8>really a passive approach.

0:34:10.040 --> 0:34:12.280
<v Speaker 3>There are neta fees.

0:34:13.480 --> 0:34:25.200
<v Speaker 8>Uh so that's gross. Okay, yeah, the underlying indexes. I'm sorry,

0:34:25.239 --> 0:34:26.160
<v Speaker 8>i just lost my train of thought.

0:34:26.160 --> 0:34:26.560
<v Speaker 10>No, that's okay.

0:34:26.560 --> 0:34:28.359
<v Speaker 3>I'm just wondering about the sales pitch when you're making

0:34:28.360 --> 0:34:31.360
<v Speaker 3>it to clients. So it's like, okay, we're gonna in

0:34:31.360 --> 0:34:34.040
<v Speaker 3>your portfolio, We're going to have your your portfolio is

0:34:34.040 --> 0:34:35.920
<v Speaker 3>going to match the index. But it's going to not

0:34:35.960 --> 0:34:38.600
<v Speaker 3>include the companies that don't necessarily align with your.

0:34:38.480 --> 0:34:40.920
<v Speaker 8>Own value, right, I was gonna I was gonna mention that.

0:34:40.920 --> 0:34:43.759
<v Speaker 1>Yeah, it's a Monday in August, you are giving you

0:34:43.800 --> 0:34:44.960
<v Speaker 1>should have stated us earlier.

0:34:45.080 --> 0:34:46.160
<v Speaker 3>Is absolutely correct.

0:34:46.920 --> 0:34:49.040
<v Speaker 8>I was just gonna mention that in some cases, like

0:34:49.760 --> 0:34:54.560
<v Speaker 8>in that direct indexing portfolio, you can tilt towards companies

0:34:54.560 --> 0:34:59.359
<v Speaker 8>that maybe are the leaders on various ESG factors. Again,

0:34:59.400 --> 0:35:02.200
<v Speaker 8>that would be specific to that client, but you maybe

0:35:02.200 --> 0:35:05.880
<v Speaker 8>your portfolio'll be more tilted towards clean energy or different

0:35:05.920 --> 0:35:06.399
<v Speaker 8>things like that.

0:35:06.520 --> 0:35:08.480
<v Speaker 1>So basically an evolution of ESG.

0:35:09.400 --> 0:35:12.439
<v Speaker 8>Yeah, I think it's this. This has been a huge

0:35:12.480 --> 0:35:14.560
<v Speaker 8>evolution in the field in the last like ten or

0:35:14.560 --> 0:35:18.040
<v Speaker 8>fifteen years, especially the last five. Right, Yeah, and a pushback.

0:35:18.320 --> 0:35:21.040
<v Speaker 1>It's kind of fascinating to see. But thank you so much,

0:35:21.040 --> 0:35:23.600
<v Speaker 1>really appreciate it. Budster Macky is partner and head of

0:35:23.600 --> 0:35:27.160
<v Speaker 1>Impact Investing at Paragone Wealth and Management. Joining us right

0:35:27.200 --> 0:35:28.920
<v Speaker 1>here in our interactive broker studio.

0:35:29.719 --> 0:35:33.279
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:35:33.320 --> 0:35:36.560
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

0:35:36.600 --> 0:35:38.759
<v Speaker 2>on Apple car Play, and then brout Auto with a

0:35:38.760 --> 0:35:43.400
<v Speaker 2>Bloomberg Business app or watch us live on YouTube.

0:35:44.719 --> 0:35:46.719
<v Speaker 3>You and I've been doing this together for quite a while.

0:35:46.800 --> 0:35:49.319
<v Speaker 3>We have, including Wow four years.

0:35:49.400 --> 0:35:52.279
<v Speaker 1>Yeah, if you think about it, it was the depth or

0:35:53.000 --> 0:35:54.640
<v Speaker 1>I mean of the pandemic.

0:35:54.760 --> 0:35:58.239
<v Speaker 3>Yeah, it was. Yeah, it really was. Think about back

0:35:58.280 --> 0:36:01.720
<v Speaker 3>to that environment, if you will, and the pandemic was raging.

0:36:02.239 --> 0:36:05.120
<v Speaker 3>Tensions in cities were high. People took to the streets

0:36:05.120 --> 0:36:08.400
<v Speaker 3>to protest the murder of George Floyd around that time.

0:36:08.640 --> 0:36:10.600
<v Speaker 3>We wrote a lot about this at Bloomberg News and

0:36:10.600 --> 0:36:13.960
<v Speaker 3>at Bloomberg BusinessWeek. A lot of companies and stories about

0:36:14.000 --> 0:36:17.160
<v Speaker 3>companies big and small joining the conversation making commitments of

0:36:17.200 --> 0:36:21.239
<v Speaker 3>different types. Wells Fargo one of those companies. Four years ago,

0:36:21.239 --> 0:36:24.960
<v Speaker 3>it committed more than four hundred million dollars to nonprofits.

0:36:25.680 --> 0:36:28.040
<v Speaker 3>The idea was to help local businesses that were hit

0:36:28.080 --> 0:36:31.040
<v Speaker 3>by the pandemic, so the nonprofits would deploy the cash

0:36:31.440 --> 0:36:34.479
<v Speaker 3>to local businesses, and according to the Bank, the vast

0:36:34.520 --> 0:36:38.880
<v Speaker 3>majority of those businesses they identified as racially and ethnically diverse.

0:36:39.200 --> 0:36:42.080
<v Speaker 1>Darlene Goins is head of Philanthropy and Community Impact at

0:36:42.120 --> 0:36:44.920
<v Speaker 1>Wells Fargo. Here to talk a little bit more about

0:36:44.920 --> 0:36:47.000
<v Speaker 1>what they are up to and how it is going.

0:36:47.040 --> 0:36:49.640
<v Speaker 1>She joins us from San Francisco. Darlene, nice to have

0:36:49.719 --> 0:36:50.719
<v Speaker 1>you here. How are you?

0:36:52.160 --> 0:36:53.640
<v Speaker 10>I'm great, Thanks for having me.

0:36:53.880 --> 0:36:57.200
<v Speaker 1>Yeah, it's great to check in with you. Tell us

0:36:57.239 --> 0:36:59.680
<v Speaker 1>how things are going. And you know, four years ago,

0:36:59.719 --> 0:37:03.120
<v Speaker 1>you guys committed this big chunk of change formed million

0:37:03.120 --> 0:37:06.680
<v Speaker 1>to those nonprofits that really helped out local businesses hit

0:37:06.719 --> 0:37:09.520
<v Speaker 1>by the pandemic. Where are you in that and what's

0:37:09.520 --> 0:37:10.520
<v Speaker 1>been the impact of it?

0:37:11.960 --> 0:37:14.759
<v Speaker 10>Sure, so let me start by giving some context. So

0:37:15.239 --> 0:37:19.719
<v Speaker 10>back in twenty twenty, the pandemic hit and immediately millions

0:37:19.719 --> 0:37:23.160
<v Speaker 10>of small businesses, often those small businesses that help make

0:37:23.200 --> 0:37:27.480
<v Speaker 10>communities feel like home, they immediately struggled. And so we

0:37:27.600 --> 0:37:33.880
<v Speaker 10>really wanted to create a national inclusive small business recovery effort,

0:37:34.480 --> 0:37:37.560
<v Speaker 10>and so we started by listening. We talked with our

0:37:37.680 --> 0:37:41.239
<v Speaker 10>nonprofit partners that were in communities and asked them what

0:37:41.360 --> 0:37:45.160
<v Speaker 10>they needed, and they said they needed flexible capital, flexible

0:37:45.200 --> 0:37:48.360
<v Speaker 10>capital that could enable them to pivot to meet whatever

0:37:48.400 --> 0:37:52.880
<v Speaker 10>the local community's needs were. And so our CEO, Charlie Sharf,

0:37:53.000 --> 0:37:57.080
<v Speaker 10>decided to donate all of the gross processing fees that

0:37:57.120 --> 0:38:00.440
<v Speaker 10>Wells Fargo earned from the government for administer during the

0:38:00.480 --> 0:38:04.400
<v Speaker 10>Paycheck Protection program in twenty twenty and we created the

0:38:04.440 --> 0:38:07.840
<v Speaker 10>Open for Business Fund, roughly four hundred and twenty million

0:38:07.880 --> 0:38:12.560
<v Speaker 10>dollars that we deployed through flexible grants back into communities

0:38:12.640 --> 0:38:16.040
<v Speaker 10>to serve small businesses. And if you fast forward then

0:38:16.239 --> 0:38:20.960
<v Speaker 10>four years now, those more than two hundred nonprofits and

0:38:21.040 --> 0:38:25.360
<v Speaker 10>community development financial institutions are telling us they were able

0:38:25.440 --> 0:38:29.320
<v Speaker 10>to serve over three hundred and thirty six thousand small

0:38:29.360 --> 0:38:33.640
<v Speaker 10>businesses and help create and preserve more than four hundred

0:38:33.680 --> 0:38:36.640
<v Speaker 10>and sixty one thousand jobs in our local communities.

0:38:37.200 --> 0:38:39.520
<v Speaker 3>Wow, what does a flexible grant mean?

0:38:41.480 --> 0:38:45.040
<v Speaker 10>So, it means that the nonprofits can use the money

0:38:45.480 --> 0:38:48.319
<v Speaker 10>in the best way that they need to use it. So,

0:38:48.560 --> 0:38:51.319
<v Speaker 10>for example, they may use it to shore up loan

0:38:51.400 --> 0:38:54.520
<v Speaker 10>loss reserves so that they can expand their credit box.

0:38:54.920 --> 0:38:58.080
<v Speaker 10>They may use it to create new products such as

0:38:58.960 --> 0:39:05.160
<v Speaker 10>no and low cost rants or loans that don't require

0:39:05.200 --> 0:39:10.600
<v Speaker 10>collateral or loan modification products. So they really could use

0:39:10.640 --> 0:39:14.920
<v Speaker 10>it very flexibly. And I would say the what we

0:39:15.200 --> 0:39:20.000
<v Speaker 10>found successful was in addition to making that capital affordable

0:39:20.440 --> 0:39:24.759
<v Speaker 10>for small businesses, where we had caps interest rates of

0:39:24.840 --> 0:39:30.920
<v Speaker 10>three percent, they paired it with technical assistance. Those nonprofits

0:39:30.920 --> 0:39:36.400
<v Speaker 10>in CDFI's delivered one point one million hours of technical assistance,

0:39:36.920 --> 0:39:38.960
<v Speaker 10>more than half of that in a one on one

0:39:39.040 --> 0:39:43.400
<v Speaker 10>format to those small businesses, many of whom were having

0:39:43.480 --> 0:39:47.520
<v Speaker 10>to learn how to pivot from providing in person services

0:39:47.560 --> 0:39:51.360
<v Speaker 10>to something virtual, and so it really was instrumental in

0:39:52.200 --> 0:39:56.480
<v Speaker 10>being able to help these small businesses through these turbula.

0:39:56.760 --> 0:39:59.280
<v Speaker 3>I'm wondering, you know, we're Bloomberg. We care about metrics.

0:39:59.320 --> 0:40:02.440
<v Speaker 3>We follow the money and how it's doing, even when

0:40:02.480 --> 0:40:06.160
<v Speaker 3>it comes to especially when it comes to philanthropy. If

0:40:06.160 --> 0:40:07.880
<v Speaker 3>you could, I mean, is it fair to call this philanthropy?

0:40:07.920 --> 0:40:08.960
<v Speaker 3>Is that how you would describe it?

0:40:10.480 --> 0:40:12.120
<v Speaker 10>Yes, okay's philanthropy.

0:40:12.719 --> 0:40:16.120
<v Speaker 3>So but but sorry, I just we'd only have a

0:40:16.160 --> 0:40:17.319
<v Speaker 3>little bit of time, and I want to make sure

0:40:17.480 --> 0:40:18.640
<v Speaker 3>we get to this. I want to know about the

0:40:18.680 --> 0:40:21.120
<v Speaker 3>metrics when you follow it over the last four years,

0:40:21.520 --> 0:40:24.920
<v Speaker 3>how it's been deployed, and how it's helped these businesses.

0:40:24.960 --> 0:40:25.880
<v Speaker 3>Has it been effective?

0:40:27.520 --> 0:40:32.200
<v Speaker 10>It absolutely has been effective. The great thing was because

0:40:32.280 --> 0:40:35.120
<v Speaker 10>the nonprofits had this flexible capital and they could shore

0:40:35.200 --> 0:40:38.040
<v Speaker 10>up their balance sheets, they were able to leverage our

0:40:38.160 --> 0:40:42.319
<v Speaker 10>funding to attract other public and private investment to the

0:40:42.360 --> 0:40:46.319
<v Speaker 10>tune of two point one billion dollars. And the other

0:40:46.440 --> 0:40:50.480
<v Speaker 10>great thing is we saw from the data that the

0:40:50.520 --> 0:40:53.480
<v Speaker 10>most in need small businesses were able to stay open.

0:40:53.640 --> 0:40:57.640
<v Speaker 10>So seventy nine percent of the small business owners identified

0:40:57.760 --> 0:41:02.160
<v Speaker 10>as racially or ethnically di verse, seventy two percent identified

0:41:02.200 --> 0:41:04.839
<v Speaker 10>as low and moderate income, and fifty three percent were

0:41:04.840 --> 0:41:06.160
<v Speaker 10>women owned small businesses.

0:41:06.920 --> 0:41:08.560
<v Speaker 1>You know, one of the things I wanted to ask you,

0:41:08.760 --> 0:41:11.160
<v Speaker 1>and like a lot of financial institutions or a lot

0:41:11.160 --> 0:41:13.040
<v Speaker 1>of companies, like they go through cycles and they have

0:41:13.080 --> 0:41:16.319
<v Speaker 1>their ups and downs, and certainly Wells Fargo's has been

0:41:16.520 --> 0:41:19.600
<v Speaker 1>well documented over the past years and prior to Charlie

0:41:19.640 --> 0:41:22.080
<v Speaker 1>Sharf taking over. But one of the things he said

0:41:22.200 --> 0:41:23.480
<v Speaker 1>is that he wanted to, you know, clean up the

0:41:23.520 --> 0:41:26.960
<v Speaker 1>banks many messes. Having said that, what have you guys

0:41:27.160 --> 0:41:30.560
<v Speaker 1>learned as an institution, how have you evolved in terms

0:41:30.600 --> 0:41:35.200
<v Speaker 1>of reaching out to, you know, those who need to

0:41:35.239 --> 0:41:37.080
<v Speaker 1>be banked and are underbanked.

0:41:39.239 --> 0:41:42.080
<v Speaker 10>Well, I think the Open for Business Fund is a

0:41:42.160 --> 0:41:47.080
<v Speaker 10>perfect example of how we are investing in the entire ecosystem.

0:41:47.600 --> 0:41:50.640
<v Speaker 10>So when we think about different small businesses, it's important

0:41:50.680 --> 0:41:53.680
<v Speaker 10>to meet them where they are. And some may need

0:41:53.760 --> 0:41:57.680
<v Speaker 10>a micro loan, Some may need a loan from a

0:41:57.960 --> 0:42:02.840
<v Speaker 10>community development financial Institution or CDFI. Others may be ready

0:42:02.880 --> 0:42:07.400
<v Speaker 10>to engage with a more traditional bank. But our investment

0:42:07.480 --> 0:42:11.120
<v Speaker 10>spans all of those dimensions so that we can best

0:42:11.320 --> 0:42:13.279
<v Speaker 10>meet small businesses where they are.

0:42:13.640 --> 0:42:16.560
<v Speaker 1>How do you make sure you reach enough? Like, what's

0:42:16.600 --> 0:42:18.000
<v Speaker 1>the metrics for measuring that?

0:42:20.040 --> 0:42:26.440
<v Speaker 10>Well, we actually exceeded our expectations and going into this significantly.

0:42:27.000 --> 0:42:30.280
<v Speaker 10>So we knew that we wanted it to be national,

0:42:30.400 --> 0:42:32.480
<v Speaker 10>We wanted to be able to touch small businesses in

0:42:32.600 --> 0:42:36.239
<v Speaker 10>every state. We knew that we wanted to be able

0:42:36.280 --> 0:42:39.759
<v Speaker 10>to reach over one hundred and fifty thousand businesses, but

0:42:39.800 --> 0:42:42.759
<v Speaker 10>we exceeded those expectations and being able to reach over

0:42:42.800 --> 0:42:47.239
<v Speaker 10>three hundred and thirty six thousand. So we are definitely

0:42:47.280 --> 0:42:51.320
<v Speaker 10>looking at ways that philanthropy can be a catalyst for

0:42:52.040 --> 0:42:56.240
<v Speaker 10>attracting other investment as well as creating and preserving jobs

0:42:56.239 --> 0:42:57.240
<v Speaker 10>in the local economy.

0:42:57.600 --> 0:43:01.160
<v Speaker 3>Does it make you think about out making this an

0:43:01.200 --> 0:43:05.719
<v Speaker 3>ongoing program rather than a one off program.

0:43:06.200 --> 0:43:11.160
<v Speaker 10>Definitely, we are focused on what's next right now. In fact,

0:43:11.280 --> 0:43:14.280
<v Speaker 10>Round three of the Open for Business Fund is still

0:43:14.320 --> 0:43:18.799
<v Speaker 10>ongoing and it's about asset ownership. We recognize that as

0:43:18.840 --> 0:43:22.880
<v Speaker 10>small businesses are really trying to scale to grow, asset

0:43:23.320 --> 0:43:26.120
<v Speaker 10>acquisition is going to be really important, whether that is

0:43:26.560 --> 0:43:33.080
<v Speaker 10>commercial property or equipment or technological infrastructure for their businesses.

0:43:33.520 --> 0:43:36.440
<v Speaker 10>And so that piece is ongoing and it will continue

0:43:36.480 --> 0:43:40.200
<v Speaker 10>through mid next year, and then hopefully soon we will

0:43:40.239 --> 0:43:44.600
<v Speaker 10>have some new news to share about what's next in

0:43:45.160 --> 0:43:46.840
<v Speaker 10>following the Open for Business Fund.

0:43:47.040 --> 0:43:48.799
<v Speaker 1>Well, we look forward to that and checking in with

0:43:48.840 --> 0:43:52.359
<v Speaker 1>you because it's certainly programs like this that help out

0:43:52.360 --> 0:43:55.280
<v Speaker 1>communities and those that, like we say, that are unbanked

0:43:55.360 --> 0:43:58.120
<v Speaker 1>or underbanked. I always important to have Darline. Thank you

0:43:58.120 --> 0:44:00.200
<v Speaker 1>so much, really appreciate you checking in with us on

0:44:00.239 --> 0:44:03.240
<v Speaker 1>this Monday. Darling Goyn's head of philanthropy and community impact

0:44:03.280 --> 0:44:06.040
<v Speaker 1>over at Wells Fargo, joining us from San Francisco.

0:44:06.719 --> 0:44:10.800
<v Speaker 2>Bromack a journal.

0:44:11.840 --> 0:44:12.799
<v Speaker 1>How about you let me drive?

0:44:13.080 --> 0:44:18.640
<v Speaker 3>Oh no, no, no, no, honey, please, I'll do the riding gravels.

0:44:18.960 --> 0:44:23.480
<v Speaker 1>Let's wat, I want to drive. It's a good question.

0:44:23.960 --> 0:44:28.080
<v Speaker 5>Good, this is good.

0:44:28.200 --> 0:44:32.080
<v Speaker 2>Drive to the globe. Do for me? Well, Young Don

0:44:32.480 --> 0:44:33.720
<v Speaker 2>on Bloomberg Radio.

0:44:33.920 --> 0:44:36.400
<v Speaker 1>All right, everybody, just about eighteen minutes to go until

0:44:36.440 --> 0:44:38.440
<v Speaker 1>we wrap up the trading day, the first trading day

0:44:38.480 --> 0:44:40.600
<v Speaker 1>of the week, and because things have kind of it's

0:44:40.640 --> 0:44:44.000
<v Speaker 1>not like a week ago last Monday, when everybody was

0:44:44.120 --> 0:44:46.600
<v Speaker 1>using the word panic and concerned about what was going

0:44:46.600 --> 0:44:49.399
<v Speaker 1>on in the financial markets. It's a much calmer day

0:44:49.800 --> 0:44:52.440
<v Speaker 1>and so we wanted to do something a little bit differently.

0:44:52.760 --> 0:44:54.520
<v Speaker 3>Yeah, we're joined by the CEO of a firm that

0:44:54.520 --> 0:44:58.240
<v Speaker 3>says it's building AI to help make traders faster. Toggle

0:44:58.239 --> 0:45:00.879
<v Speaker 3>AI is the company. It's backed by v Ease as

0:45:00.920 --> 0:45:03.680
<v Speaker 3>well as Stint Drunken Miller and Thomas Petterfee. We should

0:45:03.680 --> 0:45:07.120
<v Speaker 3>remind you that Thomas Petterfee is the chairman of Interactive Brokers,

0:45:07.120 --> 0:45:10.359
<v Speaker 3>the sponsor of the Interactive Brokers studio. We got with us.

0:45:10.719 --> 0:45:14.160
<v Speaker 3>Yon Silodgi, CEO of toggle AI, He joins us here

0:45:14.440 --> 0:45:16.640
<v Speaker 3>in the studio. Yon, good to have you with us.

0:45:16.680 --> 0:45:17.839
<v Speaker 3>How are you very well?

0:45:17.880 --> 0:45:18.880
<v Speaker 6>Thank you, thanks for having me.

0:45:19.040 --> 0:45:22.080
<v Speaker 3>So you're doing something pretty cool over at toggle you're

0:45:22.520 --> 0:45:25.120
<v Speaker 3>a apart from you know, doing your doing other Among

0:45:25.160 --> 0:45:27.040
<v Speaker 3>the things that you're doing is you're working with Microsoft

0:45:27.080 --> 0:45:31.160
<v Speaker 3>to build out this chat GPT like LM for traders

0:45:31.160 --> 0:45:33.240
<v Speaker 3>to use. What's the vision here.

0:45:34.200 --> 0:45:37.640
<v Speaker 6>The vision for the team that really comes from the

0:45:37.719 --> 0:45:41.600
<v Speaker 6>hedgefront background is to create a better platform to take

0:45:41.600 --> 0:45:44.239
<v Speaker 6>advantage of all the data that we have available to

0:45:44.239 --> 0:45:45.320
<v Speaker 6>make investing decisions.

0:45:45.360 --> 0:45:45.520
<v Speaker 1>Right.

0:45:45.600 --> 0:45:49.080
<v Speaker 6>You have research reports, you have time series data. There's

0:45:49.120 --> 0:45:51.080
<v Speaker 6>just a lot going on every day. For example, just

0:45:51.120 --> 0:45:54.200
<v Speaker 6>on Bloomberg, you have eighteen headlines per second. It's impossible

0:45:54.760 --> 0:45:57.680
<v Speaker 6>for humans to absorb all of that and processant. So

0:45:57.760 --> 0:46:02.640
<v Speaker 6>we've built a platform that allows a hedge fund investor

0:46:03.040 --> 0:46:06.359
<v Speaker 6>to connect the dots faster, understand how things that are

0:46:06.400 --> 0:46:08.920
<v Speaker 6>moving are impacting different assets they care about.

0:46:08.920 --> 0:46:11.239
<v Speaker 1>Based on what data. What's the data that goes into

0:46:11.280 --> 0:46:11.760
<v Speaker 1>this model.

0:46:11.800 --> 0:46:14.200
<v Speaker 6>So we have a range of different data sources. We

0:46:14.239 --> 0:46:17.839
<v Speaker 6>have data that come from company fundamentals. We get data

0:46:17.880 --> 0:46:20.600
<v Speaker 6>from the Federal Reserve. We get data from example, from

0:46:20.840 --> 0:46:25.319
<v Speaker 6>various research reports, company filings, company presentations, and so on.

0:46:25.719 --> 0:46:28.279
<v Speaker 6>It's extremely wide ranging, and that's partly the point, because

0:46:28.320 --> 0:46:30.560
<v Speaker 6>we think that with the help of AI, you're now

0:46:30.600 --> 0:46:32.960
<v Speaker 6>able to look across all of these different types of

0:46:33.040 --> 0:46:33.640
<v Speaker 6>data points.

0:46:34.040 --> 0:46:37.239
<v Speaker 3>So you would essentially create or the firms that you

0:46:37.360 --> 0:46:42.720
<v Speaker 3>sell the tool too, would create their own custom llms

0:46:42.719 --> 0:46:46.120
<v Speaker 3>for whatever trades they're working on, right, because they wouldn't

0:46:46.160 --> 0:46:50.040
<v Speaker 3>have the same inputs, because then it just becomes a

0:46:50.080 --> 0:46:54.120
<v Speaker 3>commodity whereas everybody has where everybody has the same analysis

0:46:54.120 --> 0:46:54.840
<v Speaker 3>of the information.

0:46:55.640 --> 0:46:59.120
<v Speaker 6>Actually, maybe the way I would explain this is that

0:46:59.160 --> 0:47:01.640
<v Speaker 6>you don't have to your own custom LLM. We use

0:47:01.800 --> 0:47:06.240
<v Speaker 6>llms primarily as a way to help you navigate our system,

0:47:06.280 --> 0:47:08.120
<v Speaker 6>so that instead of you having to press a button,

0:47:08.239 --> 0:47:10.640
<v Speaker 6>you can say, I would like to know whether or

0:47:10.680 --> 0:47:14.000
<v Speaker 6>not fast food restaurants do poorly when gasoline prices rise

0:47:14.080 --> 0:47:16.480
<v Speaker 6>ten percent. It's the kind of instruction that you might

0:47:16.480 --> 0:47:18.719
<v Speaker 6>give to an analyst, and then you rely on the

0:47:18.760 --> 0:47:21.680
<v Speaker 6>system to go and do the analysis, fetch the data,

0:47:22.120 --> 0:47:23.680
<v Speaker 6>and then give you the answer, and then you can

0:47:23.680 --> 0:47:25.520
<v Speaker 6>have a little bit of a back and forth that way.

0:47:26.000 --> 0:47:29.560
<v Speaker 6>But it relies on our proprietary knowledge graph to be

0:47:29.640 --> 0:47:32.560
<v Speaker 6>able to connect these dots and say like, oh, actually,

0:47:32.560 --> 0:47:35.560
<v Speaker 6>for gasoline prices, I'll use the first future and for

0:47:35.760 --> 0:47:39.040
<v Speaker 6>fast food restaurants, I know which set of tickers I require.

0:47:39.239 --> 0:47:40.840
<v Speaker 1>Yeah, And what would you have done though? During the

0:47:40.880 --> 0:47:46.080
<v Speaker 1>pandemic when of the meme stocks which most would argue

0:47:46.360 --> 0:47:50.680
<v Speaker 1>weren't necessarily trading on fundamentals, and it was the retail

0:47:50.719 --> 0:47:53.719
<v Speaker 1>investor out in a big way. Like, how would you

0:47:54.440 --> 0:47:56.960
<v Speaker 1>what data would you look at, how would you anticipate

0:47:57.040 --> 0:48:00.080
<v Speaker 1>or how would you analyze something like that?

0:48:00.080 --> 0:48:04.719
<v Speaker 6>That's a very different phenomenon to analyze because it obviously

0:48:04.760 --> 0:48:07.239
<v Speaker 6>is something that hadn't really happened before, not in that

0:48:07.320 --> 0:48:10.319
<v Speaker 6>kind of way. Right, the retail investor was really seen

0:48:10.360 --> 0:48:11.719
<v Speaker 6>to have a lot more power than I think people

0:48:11.760 --> 0:48:14.440
<v Speaker 6>had anticipated. So I would say that in that case,

0:48:15.000 --> 0:48:17.520
<v Speaker 6>a system like ours would have relied a lot more

0:48:18.000 --> 0:48:19.920
<v Speaker 6>on some of the sentiment data and some of the

0:48:19.960 --> 0:48:25.080
<v Speaker 6>news as opposed to, for example, price data from ten

0:48:25.160 --> 0:48:27.200
<v Speaker 6>years ago in so on. So if there's an event

0:48:27.280 --> 0:48:30.640
<v Speaker 6>that doesn't have a lot of repeated occurrences, you need

0:48:30.680 --> 0:48:35.040
<v Speaker 6>to be much more focused on things that are happening now,

0:48:35.080 --> 0:48:36.560
<v Speaker 6>on what people are talking about in.

0:48:36.520 --> 0:48:39.400
<v Speaker 1>Song, so like social momentum, social velocity for example.

0:48:39.480 --> 0:48:42.200
<v Speaker 6>Yeah, those would be the types of analysis that you'd

0:48:42.239 --> 0:48:45.960
<v Speaker 6>be looking at now that obviously can be a lot

0:48:45.960 --> 0:48:48.560
<v Speaker 6>more wrong because again you don't have a lot of

0:48:48.600 --> 0:48:50.920
<v Speaker 6>prior experiences to say like, oh, I can see what

0:48:51.000 --> 0:48:51.799
<v Speaker 6>the connection is.

0:48:51.760 --> 0:48:56.520
<v Speaker 3>Here, what is the LLM product different from other products

0:48:56.560 --> 0:48:59.800
<v Speaker 3>that you're building as a company.

0:48:59.560 --> 0:49:04.880
<v Speaker 6>So really we use foundational large language models, including the

0:49:04.880 --> 0:49:07.680
<v Speaker 6>ones from open AI and others in order to do

0:49:07.719 --> 0:49:12.440
<v Speaker 6>two things. We use them to extract information from a

0:49:12.520 --> 0:49:15.680
<v Speaker 6>variety of different articles, and then we use them as

0:49:15.680 --> 0:49:17.640
<v Speaker 6>a way for you to be able to use the

0:49:17.840 --> 0:49:22.640
<v Speaker 6>analytics engines that are available to all of our users.

0:49:23.480 --> 0:49:27.920
<v Speaker 6>The llms themselves are not different from what others might

0:49:27.960 --> 0:49:29.880
<v Speaker 6>be using, but how we're using them is very different.

0:49:30.040 --> 0:49:33.960
<v Speaker 3>How do you you mentioned, as an example, giving an

0:49:34.040 --> 0:49:37.520
<v Speaker 3>LM a prompt that you would in the past maybe

0:49:37.600 --> 0:49:41.040
<v Speaker 3>ask an analyst to do. Who are the winners and

0:49:41.080 --> 0:49:45.000
<v Speaker 3>losers when it comes to jobs here? What's the adjustment here?

0:49:45.200 --> 0:49:47.960
<v Speaker 3>Does the hedge fund not need that analyst anymore because

0:49:48.000 --> 0:49:49.160
<v Speaker 3>it has this tool?

0:49:49.640 --> 0:49:52.279
<v Speaker 6>So in this sort of we're currently only opening this

0:49:52.440 --> 0:49:54.319
<v Speaker 6>up to a small number of hedgephons to kind of

0:49:54.920 --> 0:49:57.640
<v Speaker 6>test the constant. But what we have seen immediately is

0:49:57.680 --> 0:50:01.959
<v Speaker 6>that actually the analysts benefit because this is the sort

0:50:01.960 --> 0:50:04.160
<v Speaker 6>of thing that they would have had to do. But

0:50:04.239 --> 0:50:07.440
<v Speaker 6>where they really shine is trying to be forward thinking.

0:50:07.440 --> 0:50:09.879
<v Speaker 6>So yes, you have to do the analysis to understand

0:50:10.360 --> 0:50:13.200
<v Speaker 6>what has happened in the past and have some understanding

0:50:13.239 --> 0:50:16.799
<v Speaker 6>of the sensitivities. But building a spreadsheet would have taken

0:50:16.840 --> 0:50:19.439
<v Speaker 6>two or three hours of your time during which maybe

0:50:19.440 --> 0:50:21.759
<v Speaker 6>you would have been able to do other things. So

0:50:21.880 --> 0:50:24.920
<v Speaker 6>I think of this as us giving the superpowers to

0:50:25.040 --> 0:50:27.520
<v Speaker 6>these users rather than replacing.

0:50:27.080 --> 0:50:29.919
<v Speaker 3>Them, so augmenting their work one percent.

0:50:30.280 --> 0:50:33.160
<v Speaker 1>But you know, I who's think about headphone guys, men

0:50:33.520 --> 0:50:38.120
<v Speaker 1>or women or whomever are looking at things differently and

0:50:38.280 --> 0:50:42.800
<v Speaker 1>have their own special algorithms that lets them find pockets

0:50:42.800 --> 0:50:47.759
<v Speaker 1>of opportunity. In financial markets, if you're creating I'm just

0:50:47.840 --> 0:50:51.480
<v Speaker 1>curious if that ultimately you're going to be creating data

0:50:52.320 --> 0:50:56.560
<v Speaker 1>for more people to find those opportunities. Do those opportunities

0:50:56.640 --> 0:50:58.600
<v Speaker 1>kind of go away? You know what I'm saying that

0:50:58.640 --> 0:51:01.520
<v Speaker 1>if a lot of people are chasing and getting access,

0:51:01.640 --> 0:51:07.160
<v Speaker 1>yay democratization of really sophisticated investing strategies, But the more

0:51:07.200 --> 0:51:09.440
<v Speaker 1>they do it and get that advantage, does that advantage

0:51:09.520 --> 0:51:10.120
<v Speaker 1>kind of go away?

0:51:10.719 --> 0:51:13.680
<v Speaker 6>I think this is a great question and one that

0:51:13.760 --> 0:51:18.080
<v Speaker 6>we have to think through very carefully. But I would

0:51:18.160 --> 0:51:20.920
<v Speaker 6>give you a comparison, for example, with the Bloomberg terminal.

0:51:21.960 --> 0:51:25.440
<v Speaker 6>By now, everybody in investing industry has one right and

0:51:25.520 --> 0:51:28.160
<v Speaker 6>yet there are still opportunities that exist, and you would think, okay,

0:51:28.160 --> 0:51:31.200
<v Speaker 6>but if everybody has access to the same data. Why

0:51:31.239 --> 0:51:34.040
<v Speaker 6>do we still find these dislocations? Why do people still

0:51:34.040 --> 0:51:41.280
<v Speaker 6>disagree similarly with the Togo terminal. We are looking specifically

0:51:41.840 --> 0:51:45.120
<v Speaker 6>at how questions are being asked, and not everybody has

0:51:45.160 --> 0:51:48.120
<v Speaker 6>the same risk capitite, Not everybody has the same investment

0:51:48.160 --> 0:51:51.279
<v Speaker 6>horizon not asked the same questions, so the conclusions they

0:51:51.360 --> 0:51:52.960
<v Speaker 6>arrive at could be very different.

0:51:53.120 --> 0:51:54.719
<v Speaker 1>All right, got to ask you all and got about

0:51:54.719 --> 0:51:57.080
<v Speaker 1>thirty seconds. You hold the record for the fastest Harvard

0:51:57.080 --> 0:51:59.640
<v Speaker 1>Economics PhD. How quickly did you get it? Two and

0:51:59.680 --> 0:52:01.400
<v Speaker 1>a half two and a half years? What does it

0:52:01.440 --> 0:52:02.080
<v Speaker 1>normally take?

0:52:02.480 --> 0:52:03.759
<v Speaker 6>I think it's about five.

0:52:04.280 --> 0:52:06.320
<v Speaker 1>How'd you do that? Did you use chat EPT?

0:52:07.320 --> 0:52:09.000
<v Speaker 6>I wish I had it, probably could have cut that

0:52:09.040 --> 0:52:10.600
<v Speaker 6>down even more to the.

0:52:10.480 --> 0:52:16.239
<v Speaker 1>Thesis or I believe it's chat PhD for very very

0:52:16.239 --> 0:52:19.719
<v Speaker 1>cool stuff. Fun let us know how things go, I

0:52:19.719 --> 0:52:22.759
<v Speaker 1>mean performance wise. I mean you guys have back tested it.

0:52:22.880 --> 0:52:25.120
<v Speaker 1>You did doing the strategy, doesn't we tested.

0:52:25.200 --> 0:52:27.600
<v Speaker 6>We back tested every day basically for all the insights

0:52:27.600 --> 0:52:29.680
<v Speaker 6>and so on, and so there's a lot of curation

0:52:29.760 --> 0:52:31.600
<v Speaker 6>that goes into that very.

0:52:31.320 --> 0:52:31.879
<v Speaker 9>Very cool stuff.

0:52:31.960 --> 0:52:34.520
<v Speaker 1>Yeah, thank you so much. Look forward to continuing this conversation.

0:52:35.000 --> 0:52:37.879
<v Speaker 1>Jan Solgi He is chief executive officer of Toggle Ai.

0:52:38.000 --> 0:52:40.360
<v Speaker 1>Joining us right here in our Bloomberg Interactive Broker Studio.

0:52:40.640 --> 0:52:45.239
<v Speaker 2>This is the Bloomberg Business Week podcast of a Little Apple, Spotify,

0:52:45.400 --> 0:52:49.120
<v Speaker 2>and anywhere else you get your podcast. Listen live weekday

0:52:49.160 --> 0:52:52.760
<v Speaker 2>afternoons from two to five pm Eastern on Bloomberg dot com,

0:52:52.800 --> 0:52:56.120
<v Speaker 2>the iHeartRadio app tune In, and the Bloomberg Business App.

0:52:56.160 --> 0:52:59.120
<v Speaker 2>You can also watch us live every weekday on YouTube

0:52:59.360 --> 0:53:01.360
<v Speaker 2>and oh my is on the Bloomberg terminal.

0:53:08.040 --> 0:53:08.480
<v Speaker 8>Mm hmm