Market leadership is broadening: Insights from Denise Chisholm - February 19, 2026
Fidelity’s Director of Quantitative Market Strategy, Denise Chisholm, shared her insights on data across inflation, growth, tariffs, monetary policy and sector leadership. Her message: many widely held assumptions are being re-tested, market leadership is broadening and the most useful lens right now may be sector-specific risk–reward rather than broad factor labels.
Here are some of the key points from her commentary.
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Transcript
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Hello, and welcome to Fidelity Connects.
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I'm Pamela Ritchie. A slew of data has been released today and
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markets over the last several days have been shifting into what appears to
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be a new phase, one where leadership is broadening and long
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held assumptions are being reexamined.
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We are seeing tech valuations reset, industrials regain momentum
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and more segments of the market begin to pull their weight.
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At the same time disinflation is giving companies the confidence to plan,
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invest and expand beyond just a handful of mega-caps.
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Is this the foundation of a longer, more durable cycle?
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What might it all mean for investors navigating tech,
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the CapEx story and market breadth?
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Joining us here today for her weekly sector thesis is
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Fidelity Director of Quantitative Market Strategy, Denise Chisholm.
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A warm welcome to you, Denise. How are you today?
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Thank you. I'm good. It is sunny in Boston so everybody's happy here.
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Lovely. It's so nice to have that mid-winter, for sure.
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I'll just remind everyone to send questions in over the next half hour or so
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for Denise. This broadcast also has live French audio interpretation
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so do join us in either official language.
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I'd like to begin, if you don't mind, we'll go through all the data that's come
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out over the last several hours but you've mentioned in a recent report that
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inflation is an intensely, or inherently I think you said, personal
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,,, what is it? It's a data, a statistic that is personal.
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I guess that's right.
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Experience. It is one of the most personal statistics that we have that the
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government releases. I's partly because inflation, much like
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tariffs that we've talked about, always and everywhere feels like a tax.
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If the prices that you are paying are going up then that means
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you have, as a consumer, less purchasing power.
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That's step one that makes it very personal.
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The other part is the measurement issues around it.
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What is in my basket in terms of what I purchase might be very different
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from what's in your basket.
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It never feels quite right when a national average statistics comes
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out as it reflects how you feel.
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Maybe some people pay more money in terms of commuting to work.
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Maybe some people pay more in terms of health care insurance.
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Maybe some people have kids and pay more in terms of educational expenses.
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So it never feels quite right.
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Then you have a layer of a third option which a lot of what the
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market focuses on is core inflation, meaning they strip out food
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and energy. Most of the questions that I get from clients are, well, wait a
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minute, I actually have to buy food and I drive to work so
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I have to buy gasoline, why would that not be included?
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I think that that's a complicated personal view as well.
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Really, the monetary policy impetus, why they look at inflation,
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is very different from how you and I think about the statistic overall
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because it's how the Fed can influence inflation.
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It can't really always influence food inflation, it can't really always
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influence energy inflation because of supply-driven dynamics, so it
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focuses on what it can include.
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At the end of the day from a statistical perspective the best you can hope
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for is never to fully reflect somebody's personal experience
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with what they interact the economy in terms of prices, but it is
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to say that the measurement is consistent over and over again
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so we can look at a trend.
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I think that gets back to a lot of the data being released over the last couple
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months which is to stay that despite the fact that many prices went
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up during tariffs much of what we are seeing from a trend perspective
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is disinflation continuing.
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It's very interesting. We'll bring in the spending that's going on in the
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economy as well, the CapEx story as we mentioned and so on, but the
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disinflation that's going on is coming from very high heights.
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We know this story from post-pandemic to soak
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up a lot of the money that was pushed out there via governments and so on,
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we're sort of dropping from heights and that's the disinflation, but the growth
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story seems very much intact from a lot of the different areas
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that we're looking at this. I guess there's a little bit
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of cognitive dissonance there. I wonder if you can take us through that, the
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disinflation plus growth.
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There's two things. One, I would say most growth statistically when you look
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back to 1962 is disinflationary, meaning if you had to bet on,
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let's just talk about industrial production or ISM recovering or even real
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consumption growth accelerating, and you said, well, what usually happens to
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inflation, what usually happens to inflation is that it continues to
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decelerate. I do think that there is still this knee-jerk reaction of any
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growth is inflationary that's statistically not viable, which
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highlights the issue we've been talking about for quite some time which is
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inflation is much harder to get than people think.
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You don't just get it from growth.
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You usually get it from specific fiscal stimulus, and not
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all fiscal stimulus, we didn't see any inflation in the financial crisis when
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they spent $787 billion in the stimulus package.
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Not all stimulus is equal.
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What we saw during Covid, 15% of stimulus on top of
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the economy, that was big enough.
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I think that there's still this fear that any kind of growth or stimulus or
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cheques written by the government or rebates is going to lead to the same
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conclusion and ex that period where it was very large relative
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to any other experience that's just usually not the case.
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In some ways, again, going back to your base case, I'm looking for patterns in
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history, what shouldn't you bet on in terms of if there is a reacceleration and
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growth, I'd say you should bet on the disinflationary trend that we're
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seeing continue.
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I think that there's a second part as well, which is to say the growth story is
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intact, sort of. The growth story has been bifurcated.
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This entire cycle has been off cycle and driven by not a
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whole lot of areas in the economy.
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There hasn't been a broadening in terms of economic growth.
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You've had pockets of strength like CapEx and some parts of manufacturing
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and then you've had deep pockets of weakness, the rest of manufacturing, small
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businesses, housing. You average the two together and you get average
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growth, 2% year-on-year in GDP growth, which is mediocre at
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best.
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We haven't really seen a substantial amount of growth.
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In fact, manufacturing, industrial production, all the numbers that just came
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out, are really emerging only now for the first time
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after a three year, I won't call it a recession anymore, but at least a
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malaise, which is you haven't seen growth for a
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sustained period of time. That is very, very atypical in US history.
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Usually you see big drawdowns and big ramps back up in terms
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of recovery and we've just sort of been in this no man's land.
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Now we are finally emerging from that.
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I think that that emergence is likely sticky when you look at it and it's
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usually coupled with continued disinflation.
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That's so, so fascinating.
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Some of the numbers are out, there's a jobless number which we'll get to, but
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the trade deficit, we saw that, this is from the
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US perspective. From the Canadian perspective there's another story there.
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Wholesale inventory numbers kind of flat, I mean, up a little bit, retail
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inventories flat. That's interesting because it takes us into the
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tariff discussion there, or at least those looking for a tariff story certainly
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would look to whether retailers are able
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to sell what they're trying to sell, if they're stuck with inventories.
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Take us in there from the numbers that we got today.
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What does that tell you thus far, probably along with the trade deficit.
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Thus far what we are seeing is the angst or the pain from tariffs
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is much more, I'd say, diffuse and spread out then I think a lot
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of the research maybe implies. I think a lot of research that people have been
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looking at follows price and it is definitely true that every importer,
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or I would say exporter into the US, and then every US company wants
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to pass on price all the way down the line.
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That's going to be the first sort of knee-jerk reaction, okay, if my
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costs went up I'm just going to try and pass it through to everyone.
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It's up to the consumer to be like, no, you're not going to pass that
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through to me because I'm not going to buy the washing machine that's 15% more.
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Now, I'm worse off because I didn't get to buy the new washing machine, I have
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to fix my old washing machine, but the US producer, to
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your point retail, is also going to be worse off down the line
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because quantity demand went down.
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If quantity demand goes down enough and it doesn't offset sort of the price
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increases that they're getting from the people who do need to buy washing
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machines, then even margins go down.
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They bear some of the consequence and that goes all the way back.
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This is a very complicated math to say that we can argue for
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the next, literally, years over who bore the cost of tariffs is
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probably everyone. We can take some guesses, there are
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guesses that maybe it's 40 to 60% on the US consumer and then the rest spread
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out to the US producer and importers but it's definitely not all the US
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consumer because the US customer has basically said no to the
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price increases that had been attempted to pass through.
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You know this empirically because inflation didn't spike.
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They are obviously not willing to put up with the pass through pricing.
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I think that gets back to the tariffs are
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a tax and ultimately will not lead to sustained inflation.
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There are still Supreme Court decisions to come out.
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We don't know when that's going to come out, might actually be today but we
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don't really know.
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Maybe tomorrow.
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Maybe tomorrow. The discussion there is ... I guess I'll just ask you point
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blank, did the administration have to do this?
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There was a lot of money that was given out during the pandemic and
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every country around the world is dealing with some version of the debt issue
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out of that. There's no question.
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The administration of the US came in saying they were absolutely going to
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tackle it. This is how they chose to tackle it.
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It's just kind of interesting, does it need to go on or have they taken
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a big bite out of it from, essentially, a tax on
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consumers, on everyone.
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It's essentially a consumption tax which economists will tell you is the most
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efficient tax in the sense that you get to choose whether or not you pay.
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It is deeply regressive, and I think that that's one of the problems with
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that, but it is the efficient tax in terms of you choosing whether or not you
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pay. That's how the US consumer can say, no, I'm not going to buy the washing
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machine so I'm not, quote, taxed, although I'm worse off.
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I think the interesting part about tariffs ...
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you asked did they have to do it?
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I will say from a US citizen perspective you'd like to think that
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if you built up debt you have some plan to then roll down that
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debt. From an investment perspective I think that
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that's more interesting.
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If you told me, Denise, hey, tariffs were going to go away because the
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Supreme Court was going to say, okay, no, you can't do this anymore, and the
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administration said, well, affordability is an issue, maybe we'll roll back
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half or 75% of the tariffs and just let it go, did they have to do
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it for fiscal discipline?
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I'm not so sure.
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What I see in the data is that there's been no statistical relationship
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historically between the level of deficit and the level of interest rates,
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meaning if you are afraid as a US investor like, okay,
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if we can't repay this and we don't have any taxes coming in and the deficit is
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now even bigger shouldn't that mean that foreign investors are going to sell
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US Treasuries and that we are going to lead to a spike in yields
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after the bond vigilantes?
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You don't see any of it in the date historically in terms of it being a link.
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The other thing that I'll say is when you look at official selling of US
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Treasuries, meaning other central banks, you see some selling but there's more
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net buying by other foreign investors that are actually individuals.
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If you look at the overall tick purchases of US Treasuries they're going up the
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entire time, not down, which shows you that nothing is right now different
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yet. That sort of leads to the same conclusion,
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which is wait a minute, everybody kind of did the same thing at the same time.
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If you are selling the US what else are you buying?
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We still might be the best house in a bad neighbourhood
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in terms of the growth that comes out of the debt ratio.
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Just to put a finer point on it, if you said that, okay, debt matters for your
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long term interest rates then why is it that Italy and Greece have lower
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interest rates than the US right now?
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There's more things going on to long term rates.
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Back to your question of did they have to do it, as an investor
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I'm not so sure.
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Let's go there and go to the discussion of what sort of comes out.
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The minutes came out and the headline is that
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more people than previously thought said that maybe there's
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a hike coming and therefore inflation.
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That was a little bit of a surprise to markets.
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Again, take us there.
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That's looking at dots, that's looking at minutes, that's
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looking at some surprising pieces to that.
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That's not really what Jay Powell said.
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He was quite careful not to say that even though he obviously knew what had
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gone on in the discussions.
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What do you think of the market reaction? Let's start there.
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The data is always interesting because Fed speak is Fed speak, right?
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I don't want to say that they're guessing just as much as we're guessing
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because they're informed guesses, theoretically, but
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they are just guesses and they are just talking.
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You can say a lot of things but at the end of the day they voted to cut
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interest rates last year, and at the day they may again vote to cut
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interest rates this year. To me, in the data that looks likely.
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The concern that they had going into last year was that tariffs will lead to
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... maybe they didn't say it exactly this way but tariffs might lead to
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sustained inflation. I'm sure that they didn't use those words but relative
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price increases might be the words that they use, but it didn't.
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You could see that, you see that in the historical data is
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that it usually doesn't because it's a tax.
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I think what we're hearing now is, well, growth seems like it's stabilizing,
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the labour market seems like it's stabilizing, manufacturing seems like it's
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recovering, so maybe growth will lead to more inflation so we should stay on
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hold.
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When I look at the data that's historically not been the case.
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It very well might be that, yes, we have these hawkish sentiments
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bubbling up but when the data comes to fruition, when we roll it forward eight
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months, are we sitting here looking in a situation where manufacturing
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recovered, the labour market recovered a little, and inflation continued to
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decelerate. I think that that's likely.
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If that is the case then the Fed will likely be able to cut because they
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can, regardless of what they say in minutes.
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Because they'll also be looking at the disinflation story, which you pointed
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out right at the beginning, and as well, let's go to the jobless number.
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This is initial jobless claims, it's a weekly report.
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I always think it's interesting. I think you've pointed out certain Fed chairs
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that said it was the most important one.
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Yeah, Greenspan.
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Was that Greenspan? Okay.
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However, it moves a lot because it's
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a weekly report so you have to kind of look at it over a longer period of time.
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It kind of points to the story though that labour's good.
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They can leave that on the side, focus on inflation, is that fair?
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It does seem like that in terms of you are seeing nascent signs of
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stabilization. I mean, initial initial employment claims have
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been low, especially when you rebase it for the population.
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There was a little back and forth because of the storm, storm sort of shifts it
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week to week, but when you look at initial jobless claims it's been low as a
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percentage of the population. There's not a lot of firing.
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When you look at continuing claims, those are people who stay unemployed,
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that's actually risen, not quite a bit but it's risen more
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than initial, which tells you that, look, there's not a lot of people being
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fired but it's hard to get rehired.
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That's what this job market has been.
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We are still seeing that there's not a whole lot of firing relative and
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now you are at least starting to see nascent signs of the non-farm
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payrolls pick up, and in the household report where there's some stabilization,
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where maybe there's not less hire, maybe there's just
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stable hiring.
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That's the first step in terms of the second derivative of stabilization.
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I don't know if they would leave it on the side but
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they're certainly saying, well, I'm less concerned about the labour market.
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The theory around that would be that I'm less concerned about the sustained
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impulse to a recession, which means that I need to be less concerned with
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having to lower interest rates because I have to.
16:29.722 --> 16:33.692
That have to discussion is definitely one part of the discussion of
16:33.692 --> 16:38.330
what they do but there is also the can part of discussion,
16:38.330 --> 16:40.566
which is the part that we're talking about.
16:40.566 --> 16:44.003
If we sit here looking back in four months and inflation continuing to
16:44.003 --> 16:48.007
decelerate then they're cutting because they can cut, not because they
16:48.007 --> 16:51.443
have to cut. That's the other part of the discussion that I think that they're
16:51.443 --> 16:53.545
likely to have over the next six months.
16:53.545 --> 16:56.749
That's what equity investors want, you want lower interest rates.
16:56.749 --> 17:00.119
That's sort of the bullish case, ultimately.
17:00.119 --> 17:03.322
Hello, investors. We'll be back to the show in just a moment.
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else you get your podcasts. Now back to today's show.
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Let's go to sectors which is what you do all the time, as well as all the
17:35.854 --> 17:39.658
other layers of incredible data that you provide for everyone joining you here
17:39.658 --> 17:43.962
today. We spoke to your colleague Bobby Barnes last week, taking
17:43.962 --> 17:47.533
us through the whole story for factors, which ones are pulling ahead, slightly
17:47.533 --> 17:52.204
interesting moment for momentum but also value and where that fits, he
17:52.204 --> 17:55.774
mentioned, and I thought I'd put this to you, that it's an interesting time to
17:55.774 --> 17:59.478
look, maybe, even more at sectors than factors.
17:59.478 --> 18:03.649
Obviously, he does both and so do you, but I just thought I'd
18:03.649 --> 18:05.350
put that to you.
18:05.350 --> 18:09.321
AI is the uber theme, it is the only thing that seems
18:09.321 --> 18:13.258
to matter if you ask certain people and everything else is secondary to
18:13.258 --> 18:17.596
that. In this moment, do you think sectors affected by
18:17.596 --> 18:21.667
AI are just a clearer place to look than maybe the factors within that
18:21.667 --> 18:24.736
kind of cut across sectors?
18:24.736 --> 18:28.440
I think that makes a ton of sense. I will say that I have always found sectors
18:28.440 --> 18:32.644
to just be the most specific of exposures
18:32.644 --> 18:35.180
that you can get, much more than value or growth.
18:35.180 --> 18:38.383
A lot of times when people ask me value or growth, small-cap and large-cap, it
18:38.383 --> 18:42.187
sort of depends on the sector. There's not a clear trend, you're usually
18:42.187 --> 18:46.391
betting on something that's 200, 300 basis points over or under just because
18:46.391 --> 18:50.229
it's so big and diverse, where sectors are much more specific.
18:50.229 --> 18:54.166
You get much more spread, you can really sort of see your bet
18:54.166 --> 18:57.636
and you see the patterns in the data, meaning that there's not a lot of
18:57.636 --> 19:00.873
patterns around value or growth because it trends for such a long time.
19:00.873 --> 19:03.342
There's a lot of patterns around sectors.
19:03.342 --> 19:06.445
You can see when a sector hits its valuation threshold.
19:06.445 --> 19:10.048
We talked about financials, we can certainly talk about technology and the
19:10.048 --> 19:12.551
downdraft that we've seen in software.
19:12.551 --> 19:16.655
All of that is much more specific in the data.
19:16.655 --> 19:20.792
Yes, whenever you have ... it's not systemic, I would not call
19:20.792 --> 19:24.930
AI systemic, but it's definitely an idiosyncratic shock that
19:24.930 --> 19:29.034
is shocking some industries much more than others, and
19:29.034 --> 19:33.005
we'll see over time, that's actually where you can see it in the data,
19:33.005 --> 19:36.008
specifically on valuation, because the market does not wait.
19:36.008 --> 19:39.311
It's a discounting mechanism. If they think that there is going to be a
19:39.311 --> 19:42.047
disrupter they're going to price that in ahead of time.
19:42.047 --> 19:46.118
What history can help you understand is what are the odds
19:46.118 --> 19:50.355
that any EBIT margin deceleration, operating profit deceleration,
19:50.355 --> 19:54.326
increasing free cash flow, what are the odds that whatever it is that
19:54.326 --> 19:56.929
you're worried about is already priced in?
19:56.929 --> 20:00.499
That's how you can use valuation in sectors, which is a lot less complicated
20:00.499 --> 20:05.037
than using valuation in factors.
20:05.037 --> 20:07.739
That's fascinating. Let's go to tech, let's go to the sector that's been ...
20:07.739 --> 20:11.877
it's software within but there's also overlaying
20:11.877 --> 20:16.014
that, really, the CapEx story which is just all kinds of cash.
20:16.014 --> 20:20.018
We're talking about fiscal impulses, this is a CapEx impulse
20:20.018 --> 20:24.056
that's dumping an awful lot of money into other sectors, probably the energy
20:24.056 --> 20:27.893
sector as well, or at least that's the story of how do you build the data centres.
20:27.893 --> 20:30.829
Take us there and how software sort
20:30.829 --> 20:35.133
of shifts within it but with this overlay of the CapEx being
20:35.133 --> 20:38.704
offered, promised. It's there.
20:38.704 --> 20:42.975
It is sort of interesting. With the downdraft in software stocks down 25%
20:42.975 --> 20:47.913
in a month is fairly rare for a sub-sector in the S&P 500.
20:47.913 --> 20:51.516
What you've seen over that is a huge valuation reset.
20:51.516 --> 20:54.286
You would think that you would see this sort of ...
20:54.286 --> 20:57.856
you get back to that people asking about, well, is this a bubble, is this
20:57.856 --> 20:59.992
basically the popping of a bubble.
20:59.992 --> 21:04.029
To me, in the data this just looks completely different from what we saw
21:04.029 --> 21:06.164
in technology as a whole.
21:06.164 --> 21:09.468
This is not to say that there won't be winners and losers within the software
21:09.468 --> 21:13.572
space and the CapEx, the hyperscalers they call it, there will absolutely be
21:13.572 --> 21:17.509
winners and losers. When you look at the broader sector of technology which
21:17.509 --> 21:20.445
includes semiconductors, which includes hardware companies, which, obviously,
21:20.445 --> 21:24.016
includes software companies and business services companies, you are still
21:24.016 --> 21:27.986
seeing sustained high free cash flow trends, especially
21:27.986 --> 21:29.988
relative to their sales base.
21:29.988 --> 21:33.925
I still think when you look at the data, yes, everybody's focusing on six or
21:33.925 --> 21:37.429
seven companies, not Apple actually, Apple's not actually spending a lot in
21:37.429 --> 21:39.898
terms of CapEx, but six or seven companies [crosstalk]...
21:39.898 --> 21:42.601
It's a consumer company all of a sudden.
21:42.634 --> 21:45.904
Well, that's true, but it's in the technology sector.
21:45.904 --> 21:49.975
The interesting part about this is when you start to narrowly focus on
21:49.975 --> 21:54.379
the trees instead of the forest I think you miss the big picture, where
21:54.379 --> 21:58.417
now what you're seeing is in the overall technology sector this is worse than
21:58.417 --> 22:01.320
the tariff tantrum in terms of the valuation support.
22:01.320 --> 22:03.889
We're back down to median levels.
22:03.889 --> 22:06.491
When you look at that through the aggregate sector historically I think we're
22:06.491 --> 22:09.795
below median levels. I just looked, it's the 38th percentile.
22:09.795 --> 22:13.732
When technology is in the 38 percentile of relative forward P/E when
22:13.732 --> 22:17.769
you go back to 1962 what are the odds that technology outperforms at
22:17.769 --> 22:21.773
70%? 70% is not 100 so Denise can certainly be wrong.
22:21.773 --> 22:23.875
What are the odds if EBIT margins decline?
22:23.875 --> 22:26.545
What if the sector becomes less profitable?
22:26.545 --> 22:30.282
Right now they're not. Right now EBIT margins are still increasing for the
22:30.282 --> 22:33.552
entirety of the sector, partly to your point, it's a little bit circular.
22:33.552 --> 22:37.622
The CapEx hyperscalers are spending to the semiconductor
22:37.622 --> 22:42.260
companies so that's harnessed within the technology sector overall.
22:42.260 --> 22:45.997
We haven't seen it. What are the odds that the sector under performs if EBIT
22:45.997 --> 22:50.035
margins decline? It's actually only 30%, which is kind
22:50.035 --> 22:54.206
of a statistical way to say, at this point, after this sell-off,
22:54.206 --> 22:56.708
a whole lot is already baked in the cake.
22:56.708 --> 23:00.245
The risk-reward for technology to me looks pretty decent.
23:00.245 --> 23:04.249
Right now you can say, well, Denise does that mean that it has to outperform
23:04.249 --> 23:07.185
by a thousand basis points like it almost did last year?
23:07.185 --> 23:10.822
Well, no, there might be other better sectors to invest in, and we can talk
23:10.822 --> 23:14.092
about the manufacturing recovery that is now nascent.
23:14.092 --> 23:18.163
That is definitely a new data point, definitely more sustained.
23:18.163 --> 23:22.434
You can say, okay, maybe technology shifts from leadership to the muddy middle.
23:22.434 --> 23:26.271
Maybe at times it's outperforming by 400 or 600 basis points, maybe at times
23:26.304 --> 23:30.075
it's underperforming a little, but generally speaking, technology as a sector
23:30.075 --> 23:34.179
has a positive risk-reward because there will be all kinds of things coming
23:34.179 --> 23:38.116
down the line that will be concerned about tech stocks but a lot of it is
23:38.116 --> 23:39.418
already in there.
23:39.418 --> 23:43.355
You've been bringing incredible research to us over the course of many months.
23:43.355 --> 23:47.993
One of the things was taking a look at the unit labour cost,
23:47.993 --> 23:52.030
that's been going up. Very interesting points to point towards a
23:52.030 --> 23:56.635
durable recovery. We've got manufacturing out this morning as well.
23:56.635 --> 24:01.072
It's been up for January but it's been up for some time now after a pretty long
24:01.072 --> 24:04.776
below 50 mark. This is the ISM, taking a lot at that.
24:04.776 --> 24:08.880
That also seems to be part of the durable story for another area
24:08.880 --> 24:11.716
of the economy that you're looking at. The numbers out this morning, they just
24:11.716 --> 24:15.153
add to your thesis?
24:15.153 --> 24:18.123
Absolutely. Industrial production, capital goods orders, all is sort of
24:18.123 --> 24:22.527
supporting the inflection that we just saw in ISM, which is a survey index.
24:22.527 --> 24:26.064
The interesting part about ISM is that we've had some false starts over the
24:26.064 --> 24:27.866
last three years of it being below 50.
24:27.866 --> 24:30.836
It popped above 50 but not by much.
24:30.836 --> 24:33.371
It's been, like I said, it's been a very different cycle.
24:33.405 --> 24:37.342
It never got to 30 which you'd go, buy all manufacturing stocks, that's sort
24:37.342 --> 24:41.279
of your signal, and it never recovered to anything meaningful either, anything
24:41.279 --> 24:42.981
over 52.
24:42.981 --> 24:45.383
We've just been languishing here.
24:45.383 --> 24:47.118
How do we know that this is another false start?
24:47.118 --> 24:51.189
You can see there's a couple of things that increase your odds that this is
24:51.189 --> 24:51.523
now durable.
24:51.523 --> 24:55.460
One is that new orders jumped 20% in
24:55.460 --> 24:59.197
a month. That's fairly rare. Historically it happens less than 5% of the time.
24:59.197 --> 25:03.268
The 5% of the time it happens it usually means the ISM recovery
25:03.268 --> 25:06.004
stays above 55 for the course of the year.
25:06.004 --> 25:11.042
The second part is what we started on, inflation continues to decelerate.
25:11.042 --> 25:15.213
That is the exact sweet spot for manufacturing to be
25:15.213 --> 25:18.216
able to be durable and stay above 50.
25:18.216 --> 25:21.853
If we highlight these two things that make this recovery durable this is a
25:21.853 --> 25:25.223
change. This is change from anything that we've seen over the last three years.
25:25.223 --> 25:26.992
What does it mean for sectors?
25:27.025 --> 25:30.962
It means industrials tend to be the best performing sector, 70
25:30.962 --> 25:35.000
to 75% odds, again, not 100, but what you can see is if we
25:35.000 --> 25:39.104
are in the regime of ISM, that survey, above
25:39.104 --> 25:42.474
50 and rising, this is the way I like to look at the survey, you can look at
25:42.474 --> 25:46.511
above 50 and rising, which is expansionary, below 50 and
25:46.511 --> 25:50.382
rising, contractionary but rising from that, or the other two verticals, you'll
25:50.382 --> 25:54.519
find that this is the sweet spot for industrial stocks to
25:54.519 --> 25:55.887
actually shine.
25:55.887 --> 25:57.923
There have been some laggard sectors.
25:57.923 --> 26:01.927
Defence and aerospace has been a sweet spot that has outperformed but
26:01.927 --> 26:04.029
transportation has not.
26:04.029 --> 26:07.699
Builders is in construction discretionary but building and construction
26:07.699 --> 26:09.634
materials also have not.
26:09.634 --> 26:13.772
I think that there are some opportunities in the laggard sector that are more,
26:13.772 --> 26:17.576
and now I'll use the term that people usually want to use, the cyclical
26:17.576 --> 26:21.913
recovery. I usually say economically sensitive but this is more a true cyclical
26:21.913 --> 26:23.748
manufacturing recovery.
26:23.748 --> 26:27.786
I think that there are some options for investors that aren't technology that
26:27.786 --> 26:32.090
are levered to something else as both the economy broadens and
26:32.090 --> 26:36.061
as the earnings growth story broadens.
26:36.061 --> 26:39.364
The question is always, is this AI, what's underpinning this.
26:39.364 --> 26:43.702
You're talking about it being more economically, cyclically rooted.
26:43.702 --> 26:47.906
We've got the interest rate story there but it is the AI story, is it
26:47.906 --> 26:49.708
not?
26:49.708 --> 26:54.045
So AI, when you add it up from a GDP perspective, I think is about 6% to 7%
26:54.045 --> 26:57.115
of GDP.
26:57.115 --> 26:59.651
Technology, I mean, there are a lot of people who add it up a lot of different
26:59.651 --> 27:03.888
ways and they include power and then it's like 30%, but power was always
27:03.888 --> 27:08.493
kind of 20% so you've got to sort of think about the incremental.
27:08.493 --> 27:12.530
AI, not yet. I mean, right now in terms of boots on the ground
27:12.530 --> 27:15.333
where are you seeing the productivity increases and where are you seeing the
27:15.333 --> 27:18.136
creative destruction, you're seeing it in software.
27:18.136 --> 27:21.940
You're definitely seeing software engineers become increasingly productive at
27:21.940 --> 27:26.378
an increasing rate that is more exponential than anything that we've ever seen.
27:26.378 --> 27:29.614
I don't want to diminish people who are tech investors that focus on
27:29.614 --> 27:30.281
technology.
27:30.281 --> 27:33.885
There is some real change going on that is really rare.
27:33.885 --> 27:37.522
The question is, is that idiosyncratic within the technology sector right now
27:37.522 --> 27:40.291
or is it systemic to the entire economy?
27:40.291 --> 27:42.260
I would say it's not systemic yet.
27:42.260 --> 27:46.297
It might take much, much longer than you think to sort of have
27:46.297 --> 27:48.366
a nationwide effect.
27:48.366 --> 27:51.403
This will evolve. This is definitely a change.
27:51.403 --> 27:54.439
The market's a discounting mechanism so it's going to price it in ahead of time
27:54.439 --> 27:58.743
but I think in that pricing in ahead of time I think there's some fear around
27:58.743 --> 28:02.681
something that might just be a growth catalyst for
28:02.681 --> 28:04.983
a durable economic cycle.
28:04.983 --> 28:09.054
That is so much more appealing, you would imagine, for many investors to invest
28:09.054 --> 28:13.024
in with those parameters than it's the AI
28:13.024 --> 28:17.062
trade, we're not sure where it's going.
28:17.062 --> 28:20.165
We were at the beginning, it appears, of an industrial revolution, we don't
28:20.165 --> 28:22.567
know where it is going to land, obviously.
28:22.567 --> 28:24.602
Some of those numbers point to a place.
28:24.602 --> 28:28.640
Can you just list out the sectors as you have them in order,
28:28.640 --> 28:31.276
top and bottom three.
28:31.276 --> 28:35.613
Top three, bottom three. Industrials now number one, so that's a big change.
28:35.613 --> 28:38.883
I would say followed up by financials which still looks like a positive
28:38.883 --> 28:41.986
risk-reward given valuation. I would say the call option on deregulation.
28:41.986 --> 28:46.024
Then consumer discretionary within specifically
28:46.024 --> 28:50.028
housing. Housing intrigues me more and more with the recovery
28:50.028 --> 28:54.299
in manufacturing. Industrial, financials and consumer discretionary
28:54.299 --> 28:57.602
on the top three. On the bottom three I would say, look, there's been a little
28:57.602 --> 29:01.673
bit of a defensive rotation so people getting concerned about AI,
29:01.673 --> 29:05.610
other things, other geopolitical events, and you've seen consumer staples pop,
29:05.610 --> 29:09.981
you've seen utilities pop, you've certainly seen energy pop, all
29:09.981 --> 29:14.319
three of those would be my underweights. It would be exceedingly rare
29:14.319 --> 29:18.389
for defence to be sustained in terms of outperformance,
29:18.389 --> 29:22.494
and by exceedingly rare I mean 20%, 20% is not zero but exceedingly
29:22.494 --> 29:26.531
rare to me is under 30, so exceedingly rare for defence
29:26.531 --> 29:31.669
to catch a sustained bid in a manufacturing recovery that is disinflationary.
29:31.669 --> 29:35.774
Consumer staples, utilities are two of the bottom three, and
29:35.774 --> 29:39.444
then energy. I still think that energy, the risk-reward is negative because
29:39.444 --> 29:43.515
they're still too profitable this cycle and still have more
29:43.515 --> 29:45.884
downside in terms of earnings.
29:45.884 --> 29:49.988
We'll see where the geopolitical events settle out but generally speaking,
29:49.988 --> 29:54.659
the more that you have with less sustained upside in crude is
29:54.659 --> 29:59.164
usually the point to sell, not necessarily chase.
29:59.164 --> 30:03.802
That's not what some Canadian investors want to hear.
30:03.802 --> 30:06.971
We don't really have time for this but it's sort of a noteworthy question so
30:07.005 --> 30:11.242
I'm going to squeeze it in. Do you think the economy will react after a new Fed
30:11.242 --> 30:14.145
chair takes over later this year?
30:14.145 --> 30:17.315
I don't think so, no.
30:17.315 --> 30:21.653
Okay, we'll just leave it at that. Denise Chisholm, we are so grateful for your
30:21.653 --> 30:24.856
time and incredible answers to all of our questions.
30:24.856 --> 30:26.991
Thank you for joining us. We'll see you soon.
30:26.991 --> 30:28.459
Always great to be here.
30:28.459 --> 30:32.397
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Disinflation alongside economic growth
Denise emphasized that inflation is one of the most personal economic statistics, as each household experiences price changes differently depending on spending patterns such as commuting, food, healthcare or education. While core inflation measures exclude food and energy, which can feel disconnected from lived experience, their value lies in consistency over time.
From a broader perspective, recent data continues to point to disinflation, even as parts of the economy show signs of stabilization and recovery. Denise noted that historically, growth and inflation do not move together in the way many assume. Looking back several decades, most periods of economic growth have coincided with decelerating inflation. Growth alone is typically not enough to generate sustained inflation, which helps explain why inflation has continued to cool despite ongoing economic activity.
Growth dynamics and the role of fiscal stimulus
A key theme in Denise’s outlook is that inflation is harder to generate than many expect. It tends to emerge not from organic growth, but from very large, targeted fiscal interventions. She pointed to the pandemic period as an example of stimulus that was large enough relative to the economy to drive inflation meaningfully, while noting that other historical stimulus episodes did not have the same effect.
She also described the current growth environment as bifurcated. Strength has been concentrated in certain areas, such as capital expenditures in parts of manufacturing and technology, while other areas, including small businesses and housing, have lagged. When combined, these forces have produced modest overall growth rather than a broad-based expansion. However, recent data suggest the economy may be emerging from this prolonged period of uneven activity, with signs that growth is becoming more durable and potentially more broadly distributed.
Tariffs as a tax, not a driver of sustained inflation
Denise characterizes tariffs as a form of consumption tax that reduces purchasing power but does not typically lead to sustained inflation. While companies often attempt to pass higher costs through to consumers, consumers can respond by reducing demand. In those cases, both consumers and producers can end up worse off, as higher prices lead to lower volumes and potentially weaker margins.
Because of this dynamic, the economic burden of tariffs tends to be spread across consumers, producers and importers rather than falling entirely on households. Denise pointed out that if tariffs were truly inflationary in a sustained way, it would be visible in the inflation data. Instead, inflation has continued to decelerate, suggesting that tariff-related price pressures have been absorbed and diffused across the economy rather than compounding over time.
Monetary policy and the distinction between “can cut” and “have to cut”
Turning to monetary policy, Denise cautioned against overinterpreting Federal Reserve rhetoric. While policy discussions and minutes may reflect a range of views, actual decisions ultimately depend on how the data evolves. She noted that earlier concerns that tariffs would lead to sustained inflation did not materialize and that the same historical patterns argue against growth automatically reigniting inflation today.
Labour market data reinforce this view. Initial jobless claims remain low relative to the population, indicating limited layoffs, while continuing claims have risen modestly, suggesting that rehiring has been slower. Overall, she sees signs of stabilization rather than deterioration. If inflation continues to decelerate while growth and employment stabilize, the Fed may be able to cut rates because conditions allow it, not because economic weakness forces it to act. That distinction is important for equity investors.
Why sectors may matter more than factors
Denise argued that sectors can offer clearer and more precise exposures than broad factors such as value or growth, particularly during periods of transition. Sector data tends to show more distinct patterns, wider dispersion and clearer valuation signals. This makes it easier to assess whether risks, including those tied to disruption or innovation, are already reflected in prices.
In an environment shaped by idiosyncratic forces like artificial intelligence, sector-level analysis can provide more actionable insights than factor labels that cut across very different industries.
Technology, AI and a valuation reset
Within technology, Denise pointed to a sharp sell-off in software stocks, noting that a decline of roughly 25 percent in a short period is rare for a major sub-sector. However, she framed this move as a valuation reset rather than a broad technology bubble bursting. When looking at the technology sector as a whole, including semiconductors, hardware and services, she highlighted sustained free cash flow generation and continued strength in operating margins.
From a historical valuation perspective, technology has moved back toward more typical levels, with relative valuations sitting well below recent peaks. At those levels, the odds of future outperformance have historically improved, even though outcomes are never guaranteed. Her view is that much of the risk and uncertainty around technology, including concerns related to AI, is already reflected in prices.
On AI specifically, Denise described it as a meaningful but still idiosyncratic force. Productivity gains are most visible in software, where developers are becoming significantly more efficient. However, she does not yet see AI as a systemic driver of productivity across the entire economy. Broader economic impacts are likely to take longer to materialize than market narratives sometimes suggest.
Manufacturing recovery and implications for industrials
One of the most notable shifts in Denise’s outlook is the improvement in manufacturing data. After several years of weak and inconsistent signals, indicators such as industrial production, capital goods orders and the ISM survey are beginning to align. A particularly strong signal has been a sharp jump in new orders, an event that has historically been rare and often associated with sustained manufacturing expansion.
Crucially, this improvement is occurring alongside continued disinflation, a combination that has historically supported durable manufacturing recoveries. In this environment, industrial stocks have tended to perform well, as earnings growth broadens beyond a narrow set of sectors. Denise also noted potential opportunities in areas that have lagged, such as transportation and building-related industries, as the cycle becomes more balanced.
Sector positioning: top and bottom groups according to Denise
Top three sectors:
- Industrials, now her highest-ranked sector, supported by a more durable manufacturing recovery
- Financials, where valuations remain supportive and regulatory changes could provide additional upside
- Consumer discretionary, with particular interest in housing-related areas as economic activity broadens
Bottom three sectors
- Consumer staples, which have benefited from a defensive rotation but appear less attractive in a recovering environment
- Utilities, also part of the recent defensive bid and less compelling if growth stabilizes
- Energy, where profitability remains elevated and the risk-reward profile appears less favourable unless commodity prices show sustained upside
Conclusion: potential positioning for a broadening cycle
Denise’s message is not about making binary calls, but about assessing probabilities and risk-reward. The data suggest a market environment where disinflation persists, growth gradually broadens and leadership expands beyond a narrow set of names. In that context, sectors tied to manufacturing and economic sensitivity may offer more attractive opportunities, while traditional defensive areas could face headwinds.