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00:00What we love about you is you bring the historical context, the research, the data,
00:03and push us forward. Are there any alarm bells ringing as we go into this important week?
00:08Yeah, it's interesting. When you look at the data, I mean, everybody highlighted the fact
00:11that numbers have been coming up into this earnings season. And interestingly enough,
00:14technology has now re-accelerated from a sector perspective back into the top quartile of its
00:19history. And as much as we want to be skeptical and say, well, doesn't that usually mean that
00:24we have to mean revert? That earnings growth typically does prove durable when you study
00:29history. The more interesting data comes with the fact that they've actually become more expensive,
00:34obviously, from that almost discount that we saw during the tariff tantrum. They're also back in
00:39the top quartile of their valuation range as well. So meaning that you have a matched perspective of
00:44expensive valuations and really high earnings growth. The interesting part is for the last 20
00:49years, if you had to decide between an environment of expensive valuations but high growth or lower
00:55growth but lower valuations, that would actually be, it would be a better situation to be in the high
01:01growth, high valuation, which has been much more predictive historically.
01:07Denise, over the weekend, I did a lot of reading and, you know, the headline bubble comes up everywhere
01:13across the newspapers. But there are some interesting kind of points of distinction between a stock bubble
01:19and a sector bubble. So in a stock bubble, the argument is, well, you know, prices and valuations
01:24are being driven up without the fundamentals to support them. But that is different where you
01:29have an entire industry saying, we're going to keep investing in this technology, right? And in the
01:34future, we see a return on that investment. Which side of the bubble debate do you sit on? The stock or
01:41the story?
01:43Well, it's interesting. When you look at it compared to what we went through in the tech rack, I mean,
01:47when you look at high growth and high valuations, you say, well, that was exactly what we saw in the
01:51prior bubble. So isn't this the first early stages of that? Well, relative valuations were actually
01:5770 percent higher in 2000. And you ended up with almost negative operating margins. Not only are we
02:04not negative in terms of operating margins for technology as a sector, but they're actually
02:09increasing overall, which is to say that sometimes things are expensive for a reason. And when you look
02:15at bubble indicators like CapEx, if you add up all the CapEx in the technology sector and you divide
02:20it by the sales basis or even free cash flow, you'll see that there's really nothing anomalous,
02:26meaning that as much as some of the nominal numbers are eye popping, some of the free cash flow is also
02:32eye popping, as is the sales. So again, it's back to that high growth is matched with high valuations.
02:37A lot of the time, what you almost see is high valuations are being positive predictors
02:43of future growth, which is usually more durable than I think investors expect.
02:49Denise, for you right now, which primary or secondary data sets are you watching most closely
02:54for the tech sector? So for the tech sector, I do think overall this shift between either
03:00economically sensitive sectors like technology, communication services, consumer discretionary,
03:04and the defensive sectors like consumer staples, healthcare utilities. The fact that median earnings
03:10is finally starting to recover for the first time in the better part of three years is actually the
03:16best setup for those economically sensitive sectors like technology, even despite the fact that
03:21technology has already worked. It usually continues to work as the durability of the earning story
03:28actually broadens out. On top of that broadening out story, you might say, well, are there any tailwinds
03:33that actually are positively predictive? You know, even besides the Fed cuts that we're seeing and
03:39about to still see and the tax cuts that we are still seeing or that have seen and will bear fruit
03:44into 2026, remember of all the sectors, when you look at lower oil prices, which were kind of a form
03:51of a tax cut, technology is the number one sector that outperforms after that style of a tax cut
03:58as it filters through in terms of cost to margins and potentially lower inflation that increases
04:04multiples. So I think that there are a lot of things that highlight the fact that there are more
04:09tailwinds for overall earnings growth, which is bullish for economically sensitive sectors
04:14like technology. And how global does that data set and do those tailwinds tend to be right now, Denise?
04:22So I would say that from a global perspective, you are certainly seeing earnings growth across the globe,
04:28but right now you are seeing an interesting, what I would say is a change in trend from the last,
04:33let's call it four to six months, where international was accelerating and the U.S.
04:38was decelerating slightly. You are now seeing that shift, meaning that U.S. earnings specifically
04:43led by technology is re-accelerating at the same point where Europe, IFA and emerging markets are
04:49decelerating. That sets up, in my mind, a better risk reward for markets, despite the fact
04:54that U.S. stocks are much more expensive. It's interesting when you look at international versus
05:00the U.S. and you say, well, these stocks have actually outperformed over the last 10 months,
05:05year to date, certainly, and they're still cheap. That seems like a compelling proposition.
05:09But when you look over the last, you know, since 2010, so over the last 15 years, you'll see that
05:14that's led to 0% odds of outperformance for international, which again highlights the fact that,
05:20look, valuation sometimes doesn't say what you think it means. Sometimes stocks are cheap for
05:25a reason, and sometimes stocks are expensive for a reason. And a lot of times, valuation almost
05:30correctly predicts whether or not earnings growth is going to be durable or not. So I do think that
05:36you are seeing the U.S. be leadership from an earnings perspective again. Briefly, in historical
05:42context, have you ever seen such underpinnings of importance from the private market? Because yes,
05:48we worry about bubbles in the public markets, but a lot of them all go back to a few players in the
05:53private market like OpenAI. Yeah, so I think that the places to look from a data perspective are
05:58always in the public credit markets to see what we are discounting in terms of the private credit
06:04markets. I don't have any specific insight, but when you see more stress being in high yield credit
06:09spreads than there is in the VIX or in equity valuation spreads, that's usually a negative setup.
06:14We're not seeing that so far. Credit spreads are well contained, and there's still more fear in the
06:20equity market. So whenever you see headlines like that, you always have to step back as an investor
06:24and say, this could be a situation where yet again, the market can climb the wall of worry.
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