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The Underappreciated Macro Risks That Could Derail the Bull Market | Warren Pies

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The Underappreciated Macro Risks That Could Derail the Bull Market | Warren Pies

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1861 segments

0:00

If I knew with certainty the Fed was

0:01

going to hike in September, I'd be

0:02

underweight stocks right now. It's not

0:04

that I would say I'm straight-up bearish

0:06

here. I just think the risks are

0:07

two-sided. We highlighted the window

0:09

from August 15th to October 15th as a

0:12

period where

0:14

I don't like the seasonals and I don't

0:15

like the structure. I don't necessarily

0:17

agree with how the market is priced some

0:19

of these macro risks. You have this

0:21

market structure for single stock wall

0:22

has been crushed. Correlations still are

0:24

low.

0:25

And so I just think that it's a time to

0:27

take down risk.

0:28

>> Today's episode is brought to you by the

0:30

unlimited HFGM Global Macro ETF, ticker

0:33

HFGM.

0:35

Later in the show, you'll hear more

0:36

about HFGM, currently the number one

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Morningstar rated fund since its

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inception in the US macro trading

0:42

category. Let's get into it. Hello and

0:44

welcome to other people's money. I'm Max

0:47

Wiethe and today I'm joined by Warren

0:48

Pies, co-founder of 314 Research.

0:52

Warren, thank you so much for coming

0:53

back on the podcast.

0:55

>> Absolutely. Thanks for having me.

0:56

>> All right. So last week to your clients,

0:59

you wrote a report called macro

1:01

takeover. It does feel like macro risk

1:04

is taking over after what was

1:07

a clearly very strong earning season,

1:09

but we're starting to see some

1:11

choppiness in the market. So I want to

1:13

know why you believe macro risk is

1:15

taking over and and what are the the big

1:17

macro risks in particular that are

1:20

driving the market right now?

1:21

>> To avoid burying the lead, we downgraded

1:24

stocks.

1:25

Um

1:27

I guess it was about 2 weeks ago now.

1:29

And so off of that big bounce we had

1:31

coming out of earning season,

1:34

we got up to right about a 7,800 and

1:37

that was a really about where we said

1:39

okay, this is a good place to take some

1:41

risk off the board. We We had been

1:44

overweight from mid-April

1:46

and I explained some of the overweight

1:48

stuff to Jack on one of your your family

1:51

of podcasts back around that time, maybe

1:53

more in the springtime.

1:54

>> Before we got going, he said make sure

1:56

to give Warren some credit. He made a

1:58

great call on my podcast. So, yes, you

2:00

you were you were decidedly bullish

2:02

coming into earning season.

2:03

>> Yeah, so for from mid-April through into

2:07

I don't know when that was, August 10th

2:09

or whatever it was. Um

2:12

we had stayed overweight stocks. And so,

2:15

that was our call and we've neutralized

2:17

that now. It's not that I would say I'm

2:19

straight-up bearish here. I just think

2:20

the risks are two-sided. I think that

2:22

the concerns that were happening back

2:25

in July

2:27

were sort of misplaced and a little

2:30

early. And so, like back in July, what I

2:32

was hearing from a lot of clients was

2:34

this worry that we have low

2:35

correlations, internal correlations in

2:37

the market.

2:39

And that there could be a macro risk

2:41

that emerges.

2:43

We had the Fed's July meeting

2:46

back then. That was like a a good reason

2:49

potentially for to spike correlations.

2:51

So, correlation spike and send the VIX

2:54

higher, the index volatility higher, and

2:57

you get a sell-off. And everybody was

2:59

indexing back on the

3:02

July 2024 incident where we had the the

3:05

yen carry trade blow up. And that was

3:07

the only time we'd seen implied

3:08

one-month correlations lower than they

3:10

were back at the start of earning

3:12

season. So, our position was that that

3:15

was

3:16

that we were actually had a a favorable

3:18

market structure going into earning

3:19

season. So, the baseline takeaway, we've

3:21

been very bullish on earnings all year,

3:23

something we pointed out back in

3:26

December that we expected this to be an

3:28

earnings explosion year. We could see

3:30

signs of that in the in the way analyst

3:32

estimates were moving relative to their

3:34

seasonal tendencies back last December.

3:37

And so, that was our call and we we

3:39

think that's still ongoing. So, it's

3:41

hard to get too bearish on the market.

3:42

But at the same time, that's now on

3:44

everybody's radar. Everybody's been If

3:47

you watch CNBC or Bloomberg, I mean, you

3:50

get a parade of strategists to tell you

3:52

how great earnings are? And I think

3:53

that's the rearview. But back in July,

3:55

there was a lot of nervousness. There

3:56

was worry about macro. We were going

3:58

into earning season. We thought that

4:01

that would carry the day. And the

4:02

structure that was favorable was we had

4:03

single stock volatility.

4:06

You could use like the VIX EQ to

4:07

approximate it. We break it down by

4:09

different components and stuff like

4:10

that. We looked at semiconductor vol,

4:12

which was like up at 80%, but single

4:15

stock volatility was above 50% for a

4:17

brief period of time coming into that

4:20

earning season. So, when we looked at

4:21

history, we said, "Okay, well, when you

4:23

go into an earning season, as long as

4:26

single stock volatility single stock

4:27

volatility

4:29

um

4:30

it as long as that comes down through

4:32

earning season, which it usually does,

4:34

and you usually see correlations rise

4:37

coming through earning season because

4:38

you have like maximum um disparate

4:41

outlooks as you go through the earning

4:43

season. And then everything as that ends

4:45

converges back to macro. So, our view is

4:47

that you would see um this natural kind

4:51

of push and pull between single stock

4:52

volatility and correlations as we exited

4:55

a positive earning season. And

4:56

historically, that's a that's a good

4:58

recipe for the stock market. So, we

5:00

stayed bullish through July. We pushed

5:03

that kept that overweight through um

5:05

what were these

5:07

this I would say period of nervousness.

5:10

Now, we've had the earnings. Everybody's

5:11

bold up because of the earnings. There's

5:13

extrapolation out to 2027, 2028, and all

5:16

that stuff. And that might work. I'm not

5:18

really making a call on that. But it's

5:20

just that everyone's talking about the

5:22

earnings, which is the rearview. And

5:24

now, we're stuck with what I think is

5:26

this period where macro can emerge.

5:29

And that And the correlations rose a

5:31

little bit through this earning season,

5:32

but I'd say they rose less than I

5:34

expected. We still have this highly

5:37

rotational market that we've been

5:38

talking about all year.

5:40

And so, correlations are still in the

5:42

single digits. And now, with earning

5:45

season basically over, I know we have

5:46

Nvidia and a couple other companies

5:48

this week, but they're basically over at

5:50

this point.

5:52

I think that the concern going forward

5:54

is that we do have that now everyone

5:56

exhales,

5:57

but you're still stuck with uh a less

5:59

favorable market structure and more

6:01

potential macro risk ahead of us. You

6:03

have

6:04

potential lab IPOs, you have a Fed

6:07

meeting, you have Jackson Hole this

6:08

week.

6:10

Um you have midterm elections and

6:12

increasingly I think that the midterm

6:14

elections are going to be a

6:16

uh

6:18

a blue wave, maybe a blue tsunami.

6:20

Um

6:22

and so you have all that

6:24

that the market has to get through.

6:25

Maybe it gets through it just fine.

6:27

Uh and at the same time you have this

6:29

market structure of single stock wall

6:30

has been crushed, correlations still are

6:32

low.

6:33

And so I just think that it's a time to

6:35

take down risk. The other factor that

6:37

kind of plays on in the background is we

6:38

are in this midterm cycle.

6:40

Midterm cycle turns

6:43

it's a weak cycle, you don't put too

6:44

much on it. There's only so many cases,

6:46

we all know that stuff, but I do think

6:48

that, you know, you seize up a little

6:50

bit in this period of time leading into

6:52

midterms.

6:53

>> Okay, so when you downgrade stocks, what

6:55

is taking their position in the

6:57

portfolio?

6:58

>> Yeah, we put it all in cash. So we did

7:00

with when we did the downgrade, we

7:02

actually took commodities down to a

7:04

benchmark weight, we took stocks down to

7:05

a benchmark weight. They'd both been

7:07

overweights. We've been running a bond

7:10

underweight, commodity overweight, stock

7:12

overweight, cash underweight. That's

7:14

been our basic positioning that we've

7:16

led clients to and uh it I think it's

7:18

worked pretty good this year.

7:20

Um

7:21

I I look at commodities as kind of a

7:23

hedge to my equity book and so we not so

7:25

much

7:26

that we changed our view on commodities,

7:28

it's more of

7:29

you know, if you take equities down and

7:31

then let's say we had some kind of big

7:33

deal out of the Iran or something like

7:35

that, you crush oil. If you stayed

7:36

overweight commodities, you could crush

7:37

oil and then shoot stocks higher. It's

7:38

just bad risk management. So that's why

7:40

we took commodities down because we just

7:42

look at it as a hedge for equities in

7:44

this environment until we get some more

7:46

normalization out of the

7:48

straight out of moves. So, that's that's

7:50

the move we did. I don't expect this to

7:51

be here

7:53

um forever. I just think it's that this

7:57

is that window. We We highlighted the

7:58

window from August 15th to October 15th

8:02

as a period where

8:03

I don't like the seasonals and I don't

8:05

like the structure. I don't necessarily

8:07

agree with how the market is priced some

8:08

of these macro risks as well. Um

8:12

primarily the Fed meeting coming up uh

8:15

next month.

8:16

And so, um to me, some of those macro

8:20

risks are not being fully reflected by

8:22

the market.

8:24

>> Talking about that that Fed pricing, I

8:26

mean, what are you seeing?

8:27

>> Well, I've noticed like so the odds have

8:29

ticked back up to like 40-something

8:31

percent. I think that's closer to nor to

8:33

what you should be at for September, but

8:35

we got down to 30% for odds of a hike at

8:38

September meeting. And reme- remember

8:39

again, back in July, odds of a September

8:42

hike were like 75%. So, like this is

8:45

These are the things you want to fade.

8:47

Like you want to train yourself to be

8:48

bullish when that stuff's, you know, you

8:50

single stock vol above 50. 75% chance of

8:53

a Fed hike at a meeting that's really a

8:54

coin flip. Um earnings that are ahead of

8:57

us, not behind us, and they're positive.

8:58

Like these are the things you should be

9:00

like leaning into, and that's what pre-

9:03

that's what precedes a big rally, and we

9:04

got the big rally. Now we have kind of

9:07

the opposite of all that. We've had

9:09

single stock vol go from 50 to 35. We've

9:12

had um earnings are in the rearview, not

9:14

ahead of us for the most part, and we

9:16

have Fed hike odds been from 75 to 30%.

9:19

Think that at this moment they're back

9:21

to 40%.

9:22

>> It's about 42.

9:23

>> Okay, so our argument has been this

9:25

whole time that this is a coin flip

9:27

meeting.

9:28

Um in that the data is this still live.

9:31

We in the data that's come in

9:34

that where we saw the odds of a Fed

9:36

hike come down.

9:38

Our synthesis of that data is that it

9:40

has not

9:41

been nearly as dovish as the market's

9:43

reaction to it. So, we I I think um

9:48

you can make an argument if you want to

9:51

that that data actually was

9:53

more um pushes you closer to a hike.

9:56

>> What did the market get wrong? Did they

9:57

just over index to the headline number?

9:59

>> We plugged in CPI and PPI

10:02

to our PCE nowcast. Core PCE from our

10:04

nowcast

10:06

we expect it to come in at uh 0.28 month

10:09

over month. I I mean, you never want to

10:11

like hin- put your hang your hat on

10:14

getting one month out to the hundredth

10:16

decimal place on core PCE. Nobody can do

10:19

that. I can't do it. Goldman can't do

10:21

it. But we have a this model we've been

10:24

running for 2 years and it's been pretty

10:25

darn good.

10:27

Um you have to trust what you see. Um

10:30

you could look through that like the

10:31

arguments would be like, well, a lot of

10:33

that is portfolio management fees and

10:35

like you should look through that. You

10:37

should look through that. But my big

10:38

picture view of the Fed right now,

10:40

they're not explaining their reaction

10:42

function so much

10:44

anymore because of the worst regime

10:46

change. But my view is that the

10:49

tolerance for looking through things,

10:51

even things that are appropriate to look

10:53

through at the Fed, is wearing thin. So,

10:56

the Fed is

10:57

and and I would say that's another way

10:59

of describing political pressure.

11:02

They're feeling political pressure.

11:04

Um you see it in like Beth Hammack's

11:06

LinkedIn post and comments. It's

11:09

it's a very uh alarmist, emotional, and

11:12

political

11:13

set of commentary arguing for a hike.

11:16

And it's really just saying, "We've been

11:18

above target for a long time and my the

11:20

people in my uh district can't handle

11:22

this." And

11:23

you know, it's emotional appeal, not a

11:27

like a data appeal,

11:29

in my opinion.

11:30

Um and so to me that's indicative of

11:32

like the the mindset that starts giving

11:35

way to a a Fed mistake. Now, Hammock's

11:37

always been a a hawk and that's where

11:39

she she's one of the three dissents.

11:41

Um, I worry more about the core of the

11:44

committee.

11:45

And that's

11:46

Waller and Williams and Powell. Powell I

11:49

think they're really on the same page.

11:51

Williams probably the most dovish of

11:52

them. Waller, I I see him as a very much

11:55

a bellwether on the committee.

11:57

Um,

11:58

and if you read if you go back and

11:59

listen to any of his commentary,

12:01

especially like his May commentary, he

12:03

he kind of describes what I think is

12:06

his this political pressure in a really

12:09

interesting way. He says like basically,

12:12

if we don't if we keep having these

12:14

one-off supply-induced spikes to

12:17

inflation,

12:19

and we don't react to them, but then

12:21

each each one keeps coming in as like a

12:23

surprise on the inflationary side,

12:26

the population might start

12:29

reading some signal into that

12:31

randomness, cuz each one of these shocks

12:33

should be theoretically random. And he's

12:35

saying, "Well, if the population starts

12:38

seeing this these things as connected,

12:40

then they're going to believe we're not

12:42

doing our job. So, we might have to hike

12:44

anyways." And so, when I hear all this

12:48

in academic speak and just like

12:49

listening to these guys for a long time,

12:51

he's basically saying like, "I don't

12:53

think, personally,

12:55

just in my heart of hearts, that we

12:57

should be hiking because of the price of

12:58

oil because of a supply outage and the

13:00

straight-up war moves,

13:02

but I do feel the pressure. And I

13:04

understand the guy in the street sees

13:05

the gas prices up, and I also understand

13:08

that the guy in the street thinks that

13:09

the buck for inflation stops with me. He

13:11

doesn't want to hear about fiscal

13:12

deficits. He doesn't want to hear about

13:14

geopolitics. He wants to He's wants to

13:16

take his anger out. He wants a

13:17

scapegoat. And the Fed is a ready-made

13:20

scapegoat, if you're not careful.

13:22

And so,

13:24

I think that

13:26

he's describing political pressure and

13:29

the political pressure that comes from

13:30

higher oil prices and

13:32

that goes back to like, you know, we've

13:33

seen CPI and PPI in our nowcast point to

13:37

higher PCE going forward.

13:39

Um

13:40

unemployment rate is down. Again, in the

13:42

Fed's framework, the the Fed doesn't the

13:45

Fed's not going to parse the non-farm

13:48

payroll report, at least by their own

13:52

own strict definitions. They're not

13:54

going to parse it the way like we would

13:55

in this community. They look they

13:57

forecast the unemployment rate.

13:59

Unemployment rate falls,

14:01

they see it as a tighter labor market, a

14:03

more inflationary labor market. They

14:04

work within a Phillips curve framework.

14:07

So,

14:08

I think as much as that was like a

14:10

negative jobs report and it looked kind

14:12

of

14:13

it looked sluggish, you know,

14:15

and the the fall in the unemployment

14:16

rate was all due to labor force

14:18

participation rate dropping,

14:20

it could very well mean revert,

14:22

but I don't think that the Fed

14:24

necessarily

14:26

is going to feel comfortable looking

14:27

through all that. And then you bring in

14:30

the oil price. It's higher. It's still

14:32

higher.

14:33

You know, these guys and we all kind of

14:36

expected this thing this this war to be

14:40

done by now, for prices to have

14:41

normalized by now,

14:44

and they haven't. They're just hanging

14:45

out here above 90. And every day that

14:47

goes by with oil prices above 90 and

14:49

crack spreads that are like double that,

14:51

um

14:52

which points to high diesel prices, high

14:54

gas prices, every day that we hang out

14:57

here, that political pressure that

14:59

Waller was referencing back in May, it

15:01

builds. So,

15:03

could the that core of the committee,

15:06

along with the dissents,

15:08

along with Lisa Cook, who's talked to

15:09

directly about AI investment as

15:11

inflationary, could they get together

15:13

and and push for a hike in September? I

15:15

think absolutely. And there hasn't been

15:17

enough data

15:20

that points um

15:22

that let's put it this way, hasn't been

15:23

enough data that alleviates the

15:25

political pressure, which I think is the

15:26

real issue within the Fed right now.

15:29

>> I hope you're enjoying today's episode.

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17:45

>> Definitely going to

17:46

get that PCE, but you know, as you said,

17:49

it's kind of tied to CPI and PPI with

17:52

the PCE. Are Correct me, we're not going

17:55

to get another PCE print before the next

17:57

meeting. This is going to be the last

17:58

one. Sort of the last big data point.

18:01

>> Well, PCE and then we'll get CPI and

18:02

PPI,

18:04

um

18:04

>> But they claim that they don't look at

18:06

those.

18:07

>> Right, but I mean they do. So, I mean

18:09

they would they would love it if we got

18:11

another, you know, week. They

18:13

This could change. Like that data could

18:15

would absolutely It's a live meeting.

18:18

It's a coin flip. I don't think that

18:19

this is preset. I don't believe Warsh is

18:23

What I don't feel is that Warsh is going

18:25

to be pushing for high. I think that's

18:27

what makes the dynamics interesting, and

18:29

I think there's a lot going on,

18:30

honestly, within this Fed right now.

18:32

I I had personally think Warsh is wants

18:35

is a dove in this world. Um

18:39

and

18:41

it's a question on whether this

18:42

committee is going to kind of revolt and

18:44

put him in an uncomfortable spot. They

18:45

can almost force him to move with them

18:48

or be a descent, and I don't think he

18:49

would do that because it would he would

18:52

>> Has the chair ever dissented?

18:54

>> Not to my knowledge. Not I don't I

18:56

honestly don't know 100%, but it sure

18:58

seems like a Seems like a crazy unlikely

19:00

thing. And so, yeah, I think the chair

19:02

is, you know, I That's the dynamic.

19:05

Maybe I'm crazy. That's the dynamic that

19:07

I read, um

19:09

uh out of the committee.

19:11

>> But what about the the reaction? Let's

19:13

just say they do hike, right? So many

19:16

people are saying that the the long end

19:18

is doing what it's doing because the Fed

19:20

hasn't acted to fight inflation. You've

19:22

got another camp of people who are

19:24

saying it's driven by the fiscal deficit

19:26

and the issues that we're seeing there.

19:28

Um, but there there's certainly a lot of

19:30

people in the market who believe that a

19:32

hike would put an end to the pressure

19:34

that we're seeing on the long end of the

19:36

curve. I mean, do you think that the Fed

19:39

stepping in here would help solve those

19:41

problems?

19:43

>> No, but let me just first define some

19:45

terms. Um,

19:47

when we say the long end, I think

19:49

mean a lot of people are talking about

19:50

the 30-year. I think the 30-year is

19:53

in inconsequential yield at this point

19:55

in time. I get I get that bets are

19:57

reacting to this, so maybe it's less

19:59

Maybe it's more consequential than I

20:00

give it credit for, but I'm not trying

20:03

to predict the 30-year. I think it's

20:04

highly illiquid an odd little market,

20:08

and it's not really the economy's not

20:09

pricing off the 30-year. Um, you could

20:12

argue that the if it gets high enough,

20:14

then you're going to suck capital out of

20:15

the 10-year, which is the yield that

20:17

matters, and eventually, you know,

20:19

create

20:20

>> It's going to pull the 10-year up.

20:21

>> Right. And so, like, you could make that

20:22

argument, but like just for sake of

20:24

discussion, let's just say the 30-year

20:25

doesn't really matter, and what really

20:27

matters to the Fed and what really

20:29

matters to the economy is the 10-year.

20:32

And can you And will the Fed by hiking

20:35

cause the 10-year to come down?

20:38

Um,

20:39

my my belief is no. That's not how I see

20:42

the how the market works, in my opinion.

20:44

Um,

20:46

and I would just say, like,

20:48

almost throw the question back to you as

20:50

like a thought experiment. Like, why

20:51

would Why would the 10-year come down

20:53

because the Fed funds rate went up?

20:55

Like, what would be the reason for that

20:57

in in in that you hear out there? You

20:59

>> Oh, it just because it it it shows

21:01

credibility to their inflation-fighting

21:03

mandate, and thus that they are going to

21:05

rein things in, and that we're going to

21:07

get back to a cutting cycle faster,

21:10

right? That That stepping in here means

21:13

that the the time between

21:15

end of of this hiking cycle, however

21:18

long or short it is, to the next cutting

21:20

cycle is compressed.

21:22

>> I think I would say like that if it's

21:25

like we're fighting we're hiking to save

21:27

credibility and we're hoping to

21:29

come bring

21:31

um

21:32

take down the lack of credibility risk

21:35

premium in the market. You would see

21:37

that show up in a term premium. You'd

21:39

see that show up in a yield curve.

21:41

Uh we've done a lot of work historically

21:43

on term premium models and yield curve

21:46

are very highly connected. So, you can

21:48

almost speak of these things

21:49

interchangeably.

21:51

Term premium model, you can look like at

21:53

the ACM term premium model. It is like

21:55

80 something basis points right now. Um

21:59

and that's in the real yields that we

22:01

talk about that have gone up here in

22:03

recent months.

22:04

Um

22:06

but like the yield curve is around 50

22:08

basis points or 45 basis points right

22:10

now. Two stands yield curve. Uh I I

22:13

don't think there's a lot of

22:16

cre- credibility that's built into that

22:19

right now. I don't think that that that

22:21

you you would see a steeper yield curve

22:23

if the Fed was starting to lose truly

22:26

lose credibility. You would see a higher

22:28

term premium if the Fed was really

22:30

starting to lose credibility. So, I

22:33

don't think that's what's driving rates

22:36

right now or what's in the market right

22:38

now. So, in order for a a hike to signal

22:42

future cuts, you would need to go

22:44

through this process, which is what

22:46

always plays out. Gen- Basically, every

22:48

major hike cycle. Again, we showed that

22:50

in our report, which is that you need to

22:52

hike and then you

22:55

will flatten the yield curve, but the

22:57

two-year yield will go up

22:59

uh along with the 10-year yield. In most

23:01

hike cycles, the rule of thumb, and this

23:03

is not for every single hike, but this

23:05

is the rule of thumb going back to the

23:07

the '80s forward, seven hike starting

23:10

seven hike cycles, every 25 basis point

23:12

rise in the Fed funds rate gives us a 20

23:14

basis point rise in the two-year

23:16

Treasury yield and a 12 basis point rise

23:18

in the 10-year Treasury yield, which

23:20

means you're going to have a eight basis

23:22

point per hikes flattening of the yield

23:25

curve, a bear flattening.

23:27

That would be my expectation if the Fed

23:30

had started hiking. That's what's

23:31

happened historically. That's what I

23:32

think would happen.

23:34

Um and in order to get to a place where

23:36

the Fed's going to cut to that in a way

23:38

that the 10-year would start going down,

23:40

flattening, and maybe even inverting,

23:42

you need to start seeing economic

23:43

activity slow.

23:45

And so, in order to slow economic

23:47

activity, I think you need a higher

23:48

10-year

23:50

before, because we aren't slowing the

23:52

economy with a 4.7 10-year right now.

23:55

So, um

23:56

you know, you would need a bigger rate

23:58

shock. So, I don't think that this idea

24:00

that the Fed

24:02

hikes is going to lower the 10-year

24:03

really passes the smell test. It doesn't

24:06

pass recent history. If you look at the

24:08

move between like

24:10

um so for futures implied rate and the

24:12

10-year, they're really moving in

24:13

lockstep for the last two years. If you

24:15

look at previous hike cycles or cut

24:18

cycles for that matter, we've looked at

24:19

all these regimes.

24:21

When the Fed starts hiking, the the

24:23

curve starts flattening. It's a bear

24:25

flattener. Like I said, I went through

24:27

the numbers on how it rises. Um

24:29

and there is nothing in the si- the size

24:32

of the yield curve, the the steepness of

24:35

the yield curve, or the size of the term

24:37

premium in these various models that we

24:39

look at that suggests the market's

24:41

really press- pricing in um a Fed

24:44

credibility problem. I think it's

24:47

probably pricing in

24:49

a

24:50

you know, that neutral is a little

24:51

higher than most of us expected.

24:54

>> Okay. So, so you think that the the

24:56

market is is mispricing the chances of a

24:58

hike. We've come closer to that in the

25:00

last few days, but then on top of that,

25:03

you think that that people's beliefs, at

25:05

least from what we're hearing in

25:06

commentary, it's hard to say whether the

25:08

positioning aligns with that, but at

25:10

least the commentary seems to to believe

25:12

that that this would be a stabilizing a

25:14

stabilizing hike. And and you don't

25:16

really see it that way. So do you think

25:18

that that this hike potential in

25:22

September is that correlations to one

25:24

type of event if we get it?

25:27

>> I worry about that. Yeah. I would guess

25:29

if you knew if I knew with certainty

25:30

that the Fed was going to hike in

25:31

September, I'd be underweight stocks

25:33

right now. That would be my that would

25:35

be the the way I would be positioned or

25:37

be gliding guiding my clients to

25:38

position.

25:40

Um and like I said, I think that the

25:42

meeting's a coin flip. I don't think

25:43

that anyone can have a ton of um

25:46

confidence in what the Fed's going to do

25:48

given the different blocks of the

25:50

committee, given Warsh's cloak and

25:52

dagger kind of uh communication style,

25:55

and given the amount of data that we

25:56

still have to take in between here and

25:58

there. But when you're that close

26:01

and we've gone through the earning

26:03

season, that's why I say neutral posture

26:05

here is appropriate. Neutral to your

26:07

benchmark, especially if you haven't a

26:09

good year. If you're over if you've been

26:10

overweight through the rally

26:12

if you're ahead of the bench your

26:13

benchmark like you should reduce risk

26:14

here. That's been and I had a lot of

26:16

clients when we did the downgrade who

26:17

managed like big pools of capital and

26:19

they

26:20

I think they were surprised. They're

26:22

like, you just won. Like you just you

26:24

pushed and said be stable, stay bullish.

26:26

We get the breakout and now you're

26:27

taking it down. Like and I had to

26:29

explain all this to them and

26:31

you know, it's hard when you have a

26:32

bunch of different client types.

26:35

Um I'm just trying to say like to the to

26:37

to the person that's managing pools of

26:39

institutional capital with a benchmark

26:42

like this would be the part where I

26:44

started

26:45

saying, "Okay, let's protect what we've

26:47

done this year."

26:48

>> Okay. So if you had that certainty, you

26:50

would be

26:52

underweight. We've been focused on the

26:54

Fed. What about some of these other

26:55

macro risks? Obviously, we we get Nvidia

26:59

earnings. The AI trade has not quite

27:02

bounced as much as the rest of the

27:03

market. We've gotten a lot of rotation.

27:07

I mean, is there a potential that that

27:09

we continue to see weakness in the tech

27:10

sector and the rest of the market starts

27:13

to correlate? The the rotation, the

27:15

broadening slows down and and the rest

27:18

of the market starts to follow it. I I

27:20

actually asked Caliban last week

27:24

to to just give me a breakdown of

27:26

everything that happened with earnings

27:27

and I think it said something like

27:29

uh nine

27:30

nine out of 11 sectors had had beaten

27:33

their earnings.

27:34

>> Yeah, I mean, the broadness is

27:36

I'm a little bit of a

27:38

my and I think I explained this with

27:40

Jack like my ideal

27:43

mechanism for this bull market

27:44

continuing higher is tech leadership

27:47

broadening. Tech leadership broadening.

27:49

I think we are in this broadening phase.

27:51

Then you look at the the chart of like

27:53

RSP or equal weight S&P 500 and that's a

27:56

it's a beautiful chart. It's just

27:59

constantly putting in new highs. I mean,

28:01

that's probably one of the if you're

28:02

again, you're neutral, I'm neutral here.

28:04

I'm not There's a lot of bullish things

28:07

I could pull out too and we've been

28:08

talking about the risk factors.

28:10

I think that that chart is is

28:13

it's hard to look at that and be too

28:14

bullish or bearish at this moment in

28:16

time. But I do think that the way these

28:19

things work is you

28:20

you have tech leading

28:23

broadening phase. That's where we're at.

28:25

And you need to you'll ultimately need

28:26

to see tech re-assert its leadership.

28:29

Otherwise, I don't think the market has

28:31

a ton of upside. I just think

28:32

mathematically when you look at we're

28:35

50% tech

28:37

at this point on the S&P 500.

28:40

Um

28:41

it's these things just like the broadest

28:44

years we've ever seen

28:46

if you're measuring it by the percentage

28:47

of stocks beating an index, the broadest

28:50

years we've ever seen were in the the

28:52

bear market years following the tech

28:54

bust. And you see, you don't want to see

28:56

a market that's too broad right now.

28:58

Like 2000, 2001, 2002, those were the

29:02

years where more stocks beat the index

29:04

than any other year. But the index was

29:05

like, you know, on in the toilet.

29:08

And so, um

29:10

that's that's that's kind of the dynamic

29:12

we're in right now. So, you need to see

29:13

tech reassert itself.

29:15

Um there have been some cracks in the AI

29:18

armor. I'm We're You know, and this was

29:20

again, back to the the conversation I

29:22

had with Jack. This was like a big part

29:23

of it was that we are big-time AI

29:25

believers. You guys have We talked about

29:27

Caliban. We've talked about our you

29:28

know, how Caliban it's our AI research

29:31

assistant.

29:32

It started internally.

29:35

Um it really it boosted our

29:36

productivity, and then we productized

29:38

it. We started selling it to the to our

29:40

clients and then to the public.

29:42

And so, we're big AI believers. And uh

29:45

but at the same time, there's a the

29:47

expectations have grown in the space.

29:49

You have these big lab IPOs up ahead of

29:51

us. And then recently, we had the ARR

29:54

numbers for Anthropic and OpenAI leak.

29:58

And I would say they undershot our We

30:01

our current best guess from

30:03

reading the tea leaves was that we had a

30:05

combined like 115 billion

30:07

of ARR out of the labs in our in

30:09

Fernando's last AI update report. And uh

30:12

I think the combined number that we had

30:14

for ARR our snapshot was 105 billion

30:16

here. And in this world, that 10 10

30:19

billion miss is huge.

30:22

And so, I think that's been weighing on

30:23

the sector

30:24

and everything since that point in time.

30:26

And there's been just some seizing up of

30:28

like, "Oh gosh, maybe things aren't as

30:30

good." And I think those lab ARR

30:31

numbers, that's

30:32

there's a lot of concern that all the

30:34

the the number all the money is circular

30:36

within this ecosystem. We get all I get

30:39

all that. We've talked about that. But

30:40

the lab ARR, that's the

30:43

that's how you pull in external capital.

30:45

That's the gauge of the external capital

30:47

that's coming into this AI ecosystem.

30:49

So, you need to see those numbers going

30:51

up. Those numbers need to go up to

30:52

validate all of the lab CapEx and

30:55

validate the compute build-out, which

30:57

goes into the data center CapEx and

30:59

everything else. And so, it's a very

31:01

important number. Clearly, the growth's

31:02

been great. Clearly, I we believe in the

31:05

tech.

31:06

Um but there is potentially

31:09

the this spread at the diffusion stage

31:11

now, adoption stage, and maybe it's

31:14

maybe we're hitting a hiccup. Who knows?

31:16

Maybe they're sandbagging. That's

31:17

another possibility that the the labs

31:20

actually have some a rabbit they're

31:21

going to pull out of a hat. You're going

31:22

to get the best model possible prior to

31:25

IPO. You're going to have some, you

31:27

know, pushing down expectations so we

31:29

can blow them away later type of

31:31

um scenario. That's entirely possible.

31:34

There's there's a lot of ways this could

31:35

break. So, what we do is we track in

31:38

addition to the lab ARs, we are

31:40

constantly moderating monitoring GPU

31:42

availability, monitoring

31:44

uh rental rates.

31:47

We I tweeted out last week that we did

31:49

see some cracks also in our GPU

31:51

availability data, which was a that

31:53

tweet was um

31:55

it I should I could

31:56

>> most hated.

31:58

>> It was hated and I got a ton of

31:59

traction, too. I mean, just lots of

32:01

people

32:02

jumping into the to get into my DMs,

32:05

even, too. I didn't know who have big

32:07

followings and are notorious AI bears

32:10

who like all of a sudden thought that I

32:11

was like on their team or something.

32:13

And um

32:15

I'm just following the data. I'm just

32:16

telling you what the data says. So,

32:17

like, you know, the data set the our

32:19

availability data spiked up. Our what we

32:21

call our fast availability index

32:24

was uh had like one of the fastest rises

32:27

that we've really ever seen and we've

32:29

been tracking this data since 2023.

32:31

When you dig into it,

32:33

it was really all the rise was almost

32:35

100% attributed to H200 availability

32:39

just a shooting straight up.

32:41

We track pricing for rental rates in a

32:43

lot of different places. Um

32:46

one of the places, it's hard to get H200

32:48

pricing.

32:50

One of the places we we look at is is

32:52

AWS spot pricing or we average out spot

32:55

pricing different regions. And that

32:57

showed over this period of time that

32:59

H200 pricing had gotten

33:02

a pretty high relative to Blackwell

33:04

relative to the B200 pricing.

33:06

And so, you know, just having an

33:08

understanding of how

33:10

inference economics works and tokenomics

33:12

works like it makes sense to see H200

33:16

price pricing it needs to come down from

33:18

that level. It doesn't it should not be

33:20

up there with Blackwell pricing. So, it

33:22

makes sense sense to see this

33:23

availability spike. So, when we dug into

33:26

it and started looking at the different

33:28

um kind of cross validating these things

33:31

like, you know, this data series and

33:32

that data series

33:34

it alleviated our fear. We're like,

33:35

okay, this looks like a benign rise in

33:37

availability. And the most important

33:40

factor when you just clear through all

33:42

that stuff is that Blackwell B200

33:44

availability is still at zero

33:47

from what we track. So,

33:49

and that's the that's the GPU everybody

33:51

wants.

33:53

You're going to you the the token

33:55

output's just so much better. The

33:56

economics are so much better. So, it

33:57

makes sense.

33:59

But, um maybe there's a little signal in

34:02

that H200 availability going up. Maybe

34:04

this all out

34:06

grab for compute might be ebbing a bit.

34:09

I don't think there's anything to get

34:10

too tied up about yet. We monitor it

34:14

like we monitor it every hour. So, we'll

34:16

be on it and we'll talk to our clients

34:17

if we see anything there. But, like um

34:20

our basic unders basically when you just

34:23

clear all that out is that this is a

34:25

benign rise. It was it was odd. It was a

34:28

little

34:28

concerning when we saw it. But, as long

34:31

as B200 stays where it's at, we're not

34:32

really concerned

34:34

that this is any kind of real change in

34:37

compute demand. That's really what we're

34:39

trying to get at.

34:40

>> So, you said tech, if we don't see tech

34:43

really start to lead again, it's going

34:45

to be hard for for the index. That it

34:47

too much broadness is actually kind of a

34:49

bad thing. Um I mean, what does that

34:52

mean? Because one participant in this

34:55

and part of the reason that the equal

34:56

weight index has outperformed so much

34:58

has been the lack of participation from

35:00

mega cap, right? The beginning of the

35:02

year, it wasn't This wasn't the year of

35:04

Nvidia. This wasn't the year of the

35:06

hyperscalers, at least, you know, by and

35:09

large in terms of the the equity market

35:11

performance. And so, I wonder, you know,

35:13

is it Can we even distill that that view

35:16

down about we need to see tech returning

35:19

to strength?

35:20

Do we need to see mega cap tech

35:22

returning to strength? Or can it

35:23

continue to happen with some of these

35:27

bottleneck stocks? They've gotten to be

35:29

so big that it's hard to talk about them

35:30

as like small caps or anything like that

35:33

now, but um I I guess do we need to see

35:35

mega cap catch a bid for for the the

35:38

bull market to continue?

35:41

>> I think so. Yeah. I think I think that's

35:43

kind of important. I mean, when you

35:45

start chunking I One of the things we

35:47

did earlier this year is we started

35:48

chunking everything up and looking at

35:51

You're seeing more charts and studies

35:52

like this, like the number of negative

35:54

beta stocks in the market. Like,

35:56

everyone's getting at the same

35:57

Everyone's touching the same elephant,

35:59

so to speak. You know, and I'd say that

36:02

we We looked at it initially as like

36:04

semis are kind of the core of this

36:06

market right now. Like, that's the

36:09

that's the group that, you know, is is

36:12

proper leadership for this bull market.

36:14

It's an AI The whole economy has gone

36:16

all in on AI at this point. And so, you

36:20

know,

36:21

you're going to 18% of S&P market cap

36:23

now is semiconductors.

36:25

So, you have that pool, and then have

36:27

hyperscalers. If I was designing the

36:29

bull market

36:31

mix going forward, like let's get

36:33

through this macro stuff that I just

36:35

laid out, and say, "Okay, we we need to

36:37

see

36:38

um we need to get these S1s, we need to

36:40

get these IPOs, we need to get through

36:41

this period of time, we need to digest

36:43

some of these macro risks, maybe reset

36:44

correlations, consolidate the gains

36:47

we've had. Okay, what's the next leg? I

36:49

think that the ideal next leg is that

36:52

you at you exit this period where

36:54

hyperscalers and semis were negatively

36:57

correlated, where you couldn't get

36:58

either of them going up together. You

37:00

need them both to go up together. And

37:02

so, to me, that's the real mix. So, that

37:04

requires hyperscale, it requires the

37:07

um not necessarily Mag 7, like Apple's

37:10

kind of in cons- Apple has become just

37:12

like a

37:13

another defensive play or offset, you

37:15

know, it's just a place to put your

37:17

money when this other stuff's not

37:18

working, like

37:20

but forget Apple, like I mean, like the

37:22

hyperscalers, the the spenders and

37:24

receivers for a chart that was going

37:26

so viral earlier in the year, they like

37:28

those stocks need to go up together

37:30

because all of a sudden the market has a

37:31

lightbulb moment where it's like the ROI

37:34

on the spending is actually very strong,

37:37

and we're seeing that in

37:39

cloud revenue growth and everything

37:40

else. And And that's I do believe that's

37:42

the truth. I think if you can get be-

37:44

beyond this and get back to a place

37:45

where we're really focused on earnings

37:47

again, and we got that for a short

37:49

period on this burst higher to like

37:51

7,800 on the S&P 500, we got that period

37:54

where semis put in a bottom,

37:56

hyperscalers reported, and boom, you had

38:00

you know, all all that stuff was working

38:02

together, and you saw how powerful that

38:04

kind of market mix could be. To me,

38:05

that's the recipe. Um but clearly, the

38:08

market needs a little bit more

38:11

uh

38:12

it needs to rebuild its confidence and

38:15

uh to to get there. And so, yeah, I I I

38:17

think

38:18

>> you think we have clarity on the the ROI

38:20

on the spend, or we're starting to get

38:22

clarity. I mean, to me, I I think that

38:24

that what the market is clearly saying

38:26

is that the ROI is still in doubt.

38:28

>> In my mind, that it is settled. Like,

38:31

the market is we're going to get back

38:33

back in and filling and all this stuff,

38:35

but like to me, those quarters were

38:37

pretty conclusive when you saw you saw

38:39

what Microsoft did, you saw what Amazon

38:41

did, even Google was like it was down

38:43

and then up. I mean, like

38:45

I think that the

38:48

I I think you can do you would We've

38:50

done this. You can model out the

38:52

total cost of a data center and then

38:55

with a little bit of understanding the

38:57

GPU rental rates, where they're at, like

38:59

GPU rental rates can have gone up this

39:02

year. That's not supposed to happen.

39:04

Once these data centers start

39:06

recontracting at these rates, like this

39:09

is going to be This would be a

39:10

stair-step higher

39:12

for for cloud revenue, for data center

39:14

revenue. And so, to me

39:16

um

39:18

it it's I mean, it's never settled

39:20

because you could have like we talked

39:21

about. You could have a downturn. The AI

39:23

story could could run out of gas, like

39:25

the tech itself could run out of gas.

39:26

But, if you believe the tech is out here

39:29

and that's what we believe, that's like

39:30

your North Star in this, then you're

39:33

going to continue to see the compute

39:35

spend and demand ratified via the

39:39

technology. It's just a matter of what's

39:40

that path out there. I do think that

39:42

this period with IPOs and

39:44

elections, too, which is kind of like a

39:46

more realistic risk. I mean, data

39:48

centers have become a political issue at

39:50

this point in time. And that could

39:51

become

39:53

uh something the market worries about

39:55

more. Like, one of the things I'm

39:56

concerned more and more about as I look

39:58

out to year-end is like

40:00

maybe the seasonal pattern, everyone

40:01

expects this post-election rally, well

40:05

given the amount of

40:07

you know, data center dependency within

40:08

the market, if that becomes a big part

40:10

of the the election results, then do we

40:12

break that tendency? I, you know, that's

40:14

in the that's it's too far out for me to

40:17

to actually act on it right now. I just

40:19

play with these ideas. But outside of

40:21

the politics and some turn in the the

40:23

some negative turn in the technology,

40:25

which I I highly doubt.

40:27

Um yeah, I think that the the data

40:29

center

40:30

ROI question was basically solved this

40:33

earning season. That's what I would say.

40:35

>> Okay. And what about I mean the the

40:39

political risk I mean if you do get that

40:41

that blue tsunami that you're talking

40:43

about, is it just chatter and concern

40:45

from the market or is there actual real

40:47

policy consequences that you could see

40:50

that could derail the AI buildout?

40:53

>> Yeah, it's hard to say. I think that you

40:56

could just slow the data center

40:58

buildout. You could you just

41:01

who knows what form it would take, but

41:03

it just

41:04

um I look at it I've been talking about

41:07

that. I think again going back to the

41:08

conversation I had I believe with Jack

41:10

or with someone else around spring

41:12

>> We'll just say it was Jack.

41:14

>> Okay, so it's like spring this year and

41:15

we're what are your risks? And it's like

41:18

what I said at the time is like

41:20

these the spokesmen

41:23

for the labs are horrible. They're

41:25

horrible and they're losing they're

41:27

losing

41:28

the hearts and minds of the public, you

41:30

know, like Dario's presentation of

41:34

the future of AI is not enticing to

41:36

anybody.

41:38

Um the public has heard and decided they

41:41

don't trust Sam Altman.

41:43

Um and that's a

41:46

those are those are major

41:47

>> Elon already Elon's already you you've

41:49

already made your mind up on him.

41:51

>> Yeah, Elon's polarizing as it is. I

41:53

don't think he really represents like

41:55

the the uh

41:56

you need

41:58

they need to quickly start talking about

42:00

what positives are going to bring and I

42:02

do think there's going to be positives.

42:03

They need to highlight the positives is

42:05

what I would say. They need to get some

42:07

quick wins. This has been one of our

42:08

reasons we've said within sectors we

42:10

like

42:11

we've been saying it for

42:12

some months now. It's like healthcare

42:14

was going to be that next

42:16

place you go because like those that

42:18

would be a place to turn your focus as a

42:21

lab or as an AI

42:23

um someone operating in that space that

42:25

could find some very tangible quick

42:27

wins. And you can already see it. Like

42:30

if there's a drug development, like

42:31

anyone wants to try and say that they

42:33

did AI help with this or something like

42:34

that. Um

42:36

so they're they're going to work to get

42:38

that out in the front and center, I

42:40

believe. Um to try and shift public

42:43

opinion.

42:44

But to the ex- I don't know what the

42:46

what the

42:47

we'll see what the election results

42:49

bring. And I I just I don't know what

42:50

they're going to do. I don't know if

42:52

it's all bluster, you know, this new

42:54

crop of um

42:56

Democrats doesn't seem like the old

42:57

Democrats. They seem to to be

43:00

you know, much more true believer types.

43:03

You know, they don't really seem to

43:05

they don't seem like capitalists, you

43:07

know? And so to the extent that reflects

43:10

public opinion, I think that you have to

43:12

take that risk seriously. The market can

43:14

price in risks that never come to pass,

43:15

too. So, you can you can have that

43:18

happen and then you get a discounting

43:20

um in process. So, we'll see. I think

43:22

you watch the prediction markets and

43:23

watch the polling and where public

43:25

opinion is going, the market might move

43:27

before the election.

43:28

Um

43:29

but it's a it to me that's the most real

43:32

risk because I think everything else if

43:34

we just keep going in this direction

43:36

with the tech and and uh

43:39

and demands for computer are going to

43:41

continue in a linear fashion.

43:43

>> Okay. Now, what about the issuance? And

43:46

And we'll talk about equity and debt.

43:49

Um

43:51

Bassant came right out and said that

43:53

that he thinks that some of the issuance

43:55

in the in the AI buildout is impacting

43:58

the Treasury market. I mean, do you

44:00

think that's realistic? It doesn't seem

44:02

like that train is stopping. And so, you

44:05

know, as it relates to

44:07

uh the the the buyback program, all of

44:10

the things that they're implementing to

44:11

try and stabilize the bond market. I

44:13

mean, if it is really what's happening

44:15

with the AI buildout, does it does any

44:18

of that even matter?

44:19

>> I really don't think that's moving the

44:21

Treasury market. If you've gotten to a

44:22

place, like here's here's like so

44:25

there's a real answer, there's a

44:26

technical answer, and there's like like

44:28

the more um functional answer, I should

44:31

say. Like so the the very technical

44:33

answer is that like to the extent

44:35

there's one single person who's deciding

44:36

between buying a Treasury

44:38

and

44:39

uh

44:40

a

44:41

IG corporate bond linked to one of these

44:44

hyperscalers, and that next incremental

44:48

corporate bond comes out with a more

44:49

attractive risk reward, and they put

44:51

their money there, then yes, they could

44:53

be taking a buy away from Treasury

44:55

market. But when you zoom out and say

44:57

like

44:58

the net issuance that's been taking

45:00

place quarter to quarter, when you say

45:01

hyperscalers and everyone else in S&P

45:03

500, it hasn't been abnormal. It hasn't

45:05

been all all that large. You look at

45:07

gross issuance, non-financial gross

45:09

issuance this year, it's tracking high,

45:11

it's higher than every year on record

45:12

that we've seen other than 2020. But if

45:15

you were to adjust that for GDP or

45:17

adjust that for market cap or equity

45:19

market cap, um

45:21

it's

45:22

down towards the bottom of all calendar

45:25

years. So this is

45:27

we've had a long period a long period of

45:29

like like uh

45:32

um

45:33

private balance sheets in general have

45:35

been recapitalized in a positive way

45:37

post COVID in a in a positive way. And

45:40

so this is just like a in the scheme of

45:43

things, this is like a tepid re-entry

45:46

into tapping the the debt markets from a

45:49

large cap segment that has been

45:52

hasn't needed them, hasn't wanted them

45:54

for many years. And if you're the

45:56

Treasury, if you're the 800-lb gorilla

45:59

in the bond market, and you're in 250

46:04

uh billion of net new issuance coming

46:06

from these hyperscalers is really going

46:09

to get you nervous about what's

46:10

happening on the the

46:13

in on the bond the 30-year yield or

46:15

whatever then you had problems before

46:19

that ever

46:19

>> more about the Treasury market than it

46:21

does about the the credit market.

46:23

>> It's not the reason. It's the reason

46:25

that's not the reason, you know. And and

46:28

I don't and I think causation's all

46:29

turned around there, you know, I think

46:32

if anyone's driving anyone's cost of

46:34

capital up it's the the federal

46:36

government's driving up everyone else's

46:37

cost of capital because they they've run

46:40

pro-cyclical deficits for six years

46:43

post-COVID. And so that's it's um

46:47

it's a weird my my theme for this part

46:49

of the cycle I it's not I haven't

46:51

written about it. I talk to people about

46:53

it is like scapegoating. I think we're

46:54

in the process of finding a scapegoat

46:57

that we're going to pin a lot of things

46:58

on. And so like everyone's doing that.

47:00

We're testing out scapegoats. Will it be

47:02

tech? Will it be Trump? Will it be, you

47:04

know,

47:04

right now that's what I feel like

47:06

Bessen's doing. He's looking for a

47:07

scapegoat. He wants to pin this on

47:10

tech issuance is his own problem. It's

47:12

his own fault.

47:13

>> Well, the one that's that's usually the

47:15

big scapegoat is uh the energy sector

47:17

and they tried that earlier in the year

47:19

and earnings just continue to be great.

47:21

I mean of all the sectors that have just

47:22

kept powering along it was actually one

47:24

of the better performers. It's the only

47:26

thing alongside tech that really

47:28

performed well in H1. It's continued

47:31

here in H2 and we've got all of these

47:33

other scapegoats to point to now. I mean

47:36

do you think we just continue to see

47:38

uh positive surprises in the in the

47:40

energy sector? I know you've you've

47:41

written a lot about how you think it

47:42

deserves a more permanent position in

47:45

the portfolio as we we digest these

47:48

problems in the bond market. I mean is

47:49

that is that still your view?

47:52

>> My view, yeah. It's it's been that way

47:54

really since uh

47:56

2022 when we the

47:59

really then we had the the

48:01

Russia-Ukraine war and uh

48:03

when you start doing running the numbers

48:05

like if you flip from a disinflationary

48:08

to an inflationary regime, you know,

48:10

bonds and stocks are going to move

48:11

together more often than not. If you're

48:13

going to have a problem in your equity

48:14

portfolio, it's going to emanate from

48:16

your bond portfolio. So,

48:18

trying to find diversifiers is a real

48:21

issue in this world and I and the one

48:23

that always crops up is energy-based

48:26

assets.

48:28

And so, to me, you know, energy sector

48:29

has such a minuscule portion of the S&P

48:31

500,

48:33

it just makes sense to run a just a

48:36

constant overweight within your

48:37

portfolio. I mean, every year and yeah,

48:40

the gluts form and you can trade around

48:42

that position and have and have views on

48:44

oil price and things like that.

48:46

Um and we had a big glut last year

48:48

leading into this year, but

48:50

when geopolitics really hits, this is

48:54

there's no other place that's going to

48:56

buffer

48:57

your your equity portfolio. And

48:58

increasingly, if the Fed's going to

49:00

react to to oil prices, now you're

49:02

really in a place

49:03

um

49:04

where which is what I think we the first

49:06

part of this conversation was hitting

49:07

at, then you're really at a place where

49:10

you need an energy

49:12

uh overweight as a diversifier. So,

49:14

yeah, I'm I'm 100% with that position.

49:17

I don't really see that changing. I

49:19

don't know what would change that.

49:21

>> I mean, with the performance recently,

49:22

do you think we've hit that that period

49:24

where it is a little stretched, you

49:25

might you might want to trade around it

49:27

or is it the type of thing you're you're

49:29

comfortable with where

49:31

you know, where oil prices are, where

49:32

crack spreads are?

49:35

>> Yeah, so in our fund in our RAA fund, we

49:38

have we are overweight we just have a

49:41

structural overweight we have So, we

49:43

have our S&P weight, which, you know,

49:45

that flexes up and down, but obviously

49:47

energy is what 3 and 1/2% of the S&P 500

49:50

right now, 4%. And then we have another

49:53

within alternatives we put in another

49:55

energy sleeve because we just consider

49:58

that as an alternative. Like when you're

49:59

talking about when people say, "Oh, we

50:00

have a ne- again, going back to the

50:02

There's a lot of these same concepts

50:04

that keep coming up where like, "Oh,

50:05

there's so many negative beta stocks."

50:07

Well, the reason there's been so many

50:08

negative beta stocks we went through

50:10

we went through a correlation of one

50:12

event where not everything was a one. We

50:15

had a correlation of one event through

50:17

with the Iran war.

50:18

But energy stocks spiked and so you saw

50:20

you see weird stuff in the data.

50:22

>> negative one.

50:23

>> Right, exactly. Some of some stocks had

50:25

their best days ever and some and the

50:27

rest of the stocks had their worst day

50:28

ever. So,

50:29

um you know, it was it it creates

50:32

interesting statistics and things like

50:33

that. So, we put energy as an

50:35

alternative in that sleeve. So, it's a

50:37

perpetual overweight. Everything moves

50:39

up and down. If you were going to ask me

50:40

kind of on an ad hoc basis, you dig into

50:43

the energy sector.

50:44

Um obviously everybody knows refining

50:46

margins are at like

50:48

crazy high levels right now. You you

50:49

know, no matter what happens, there's

50:51

ideas that the

50:53

the US is manipulating

50:55

um

50:56

oil price and things like that, but they

50:58

can't force more refining capacity out

51:02

into the world. And And so you see those

51:04

spreads blow out. If I was going to take

51:06

take a shot here though, I would

51:08

probably take weight off the refining

51:10

segment

51:12

and move it back to some like more

51:14

general integrated type of play because

51:18

uh the next phase of this is like you're

51:20

going to run through that SPR

51:22

That's what I think is going to be on

51:23

the headlines next if this if this if

51:25

we're really settling into

51:28

a different flow pattern in the Strait

51:29

of Hormuz, then I think we're going to

51:30

start hearing about what's next for the

51:33

SPR. This release is basically over.

51:36

That's been plugging the hole. That's

51:37

been helping refiners. So, you probably

51:40

need a higher oil price once we get to

51:42

that phase

51:43

of the um of the conflict if there's no

51:45

resolution.

51:47

>> Okay. Now, uh I I want to ask about

51:50

Anthropic. We had SpaceX earlier this

51:52

year, and we really did see the space

51:56

sector sort of rallied. I mean, it was a

51:58

it was a great period of just general

52:00

bullishness in the market sort of

52:01

leading up to that SpaceX IPO. But,

52:04

right after it, a lot of the uh space

52:08

pure play stocks did not perform very

52:10

well. It it sucked a lot of capital out

52:13

of the sector.

52:14

Right now, the pure play exposure to AI

52:18

is by and large been in public markets,

52:19

the semiconductor stocks. And so, I just

52:22

wonder with a sector that is struggling

52:24

to regain its strength right now, um

52:28

do you think that a a flashy company

52:32

like Anthropic coming to market that

52:34

people view by and large as a pure play,

52:37

I mean, it is a it is the true pure play

52:39

on AI. I mean, is is that going to

52:41

create a a tough environment to get that

52:44

semiconductor strength that you think we

52:45

need?

52:46

>> I think it would be if anything a

52:48

negative for the software sector.

52:50

Um as Anthropic comes to market. Like,

52:53

we've looked at if you like

52:55

Well, Fernando wrote his annual state of

52:57

AI report a couple weeks ago. It was a a

52:59

great report. And uh

53:01

he had a interesting chart in there

53:03

where he put the market caps and how

53:05

they've changed with the whole entire AI

53:06

stack from hardware to

53:10

software and then to the labs and like

53:13

we've seen like uh uh it's interesting

53:15

cuz you've seen like a two two and a

53:17

half trillion dollar hole

53:19

blown out of the software space. It's

53:21

almost like it's making room for these

53:23

labs to come in there and take that

53:25

space. I think that's what's sort of

53:26

funny. It's like a $30 stack, and you've

53:29

got

53:30

I don't know where we're going to end up

53:31

at with the IPO right values. It could

53:33

be anywhere from two to four trillion or

53:35

whatever in combined value.

53:37

Um

53:38

and so, like, I think you're seeing the

53:41

market kind of make room within that

53:43

software space. So then I think that's

53:45

where Anthropic will land. It'll be a

53:47

GICS a software company within GICS

53:49

classification. And so um if anything, I

53:53

think it'll be it'll weigh on on

53:55

software and be positive for semis and

53:59

hardware. I think that the semis

54:00

hardware are are servicing Anthropic.

54:03

But you never know. I mean Dario told

54:06

somebody or he's known to say like

54:09

Anthropic might be the only company in

54:11

the world at some point in the future.

54:12

And so

54:13

you know, in that case it's crowding

54:15

everything out. Um he needs to work on

54:18

that messaging, man.

54:19

>> I I was going to say if if they've had a

54:22

messaging problem so far, wait until

54:25

>> How do you think all those guys like

54:27

Alex Karp feel when they hear stuff like

54:29

I mean there there's there's not just

54:30

the low guys that are worried, too, you

54:32

know. It it's it you know, that everyone

54:35

in that software space I mean I've got

54:37

clients who are software VCs and talk to

54:39

them in in private at least they'll

54:42

they're nervous. This stuff this is a

54:43

nervous time. This has been a very

54:45

nervous year for them.

54:46

Um and so uh did you there's a lot of uh

54:52

there's gamesmanship going on even

54:54

within the tech space. But I think that

54:56

the real pain point will be software

54:58

initially with during these IPO periods.

55:01

>> Yeah, I mean what what do you think

55:02

about software's relative strength?

55:04

Again, I

55:06

Caliban last week when I was thinking

55:08

about this and I just said let's just

55:10

start with Q3. I think it ran the data

55:12

through Thursday's close last week. So

55:15

August 20th and

55:17

um

55:18

I was like how how much has software

55:22

uh outperformed relative to semis and

55:26

you know

55:26

through Q3 software and services were up

55:28

19.99%

55:31

semiconductors and semiconductor

55:32

equipment down 7.47.

55:35

Basically, you know, that's

55:39

that let's call it 30% relative

55:42

performance between the two

55:45

at some point last week. Do you think

55:48

that was technical in nature just

55:49

continued, you know, unwound of of these

55:53

leverage positions or cuz a lot of

55:56

people were saying, "Well, this is the

55:57

the tech earnings strength. This is the

56:00

software earnings strength finally

56:01

playing through. Now that people aren't

56:04

chasing AI higher, they're able to to

56:07

reward these earnings." I mean, do you

56:09

think it's fundamentally driven or

56:10

technical driven?

56:12

>> It's technically driven. I'm almost

56:13

certain of it. Um yeah, that's been like

56:16

why I said and we wrote a lot about this

56:19

this year and looked at a lot of studies

56:20

on this.

56:21

Um

56:23

why I said that this is a the

56:24

semiconductor group is the

56:27

that's the straw that stirs the drink in

56:28

this market. And everything

56:31

it everything has all trades since going

56:34

back to the

56:36

spring

56:38

um with the the Mythos model fable

56:41

announcement and the leak there and like

56:44

all that stuff from like it was like

56:46

April 8th

56:47

V-shot higher, a lot of trades were put

56:49

on.

56:50

And the trades that were put on were

56:53

some variation of long semis,

56:56

long AI build out trade,

56:59

and short

57:01

something else. So, we saw we saw pair

57:03

trades coming through that were like

57:06

short consumer staples, short

57:08

financials, short certain utilities.

57:12

Uh definitely short software. We saw

57:14

some long long

57:16

uh hardware, short short hyperscalers. I

57:19

mean, these were pairs trades and they

57:22

they That's why you see the alligator

57:23

jaws open during that period. You know,

57:26

it was a a period where mostly you saw

57:29

um chips up, software down. And I think

57:31

that's a proxy for like the the market's

57:34

belief in AI.

57:35

Um and now you're seeing that unwind.

57:38

And so I do think it's technical in

57:40

nature. I don't think it's like

57:42

there's been a real fundamental shift.

57:44

But I think it all comes from the

57:46

semiconductor move. Like semis are

57:47

moving things. So semis are down,

57:50

software's probably going to be up.

57:51

That's just how it's been going. Until

57:53

you have that macro event that we're

57:55

talking about where everything goes down

57:56

together. Like if semis are down, you

57:58

can almost guarantee I can You tell me

58:01

what SMH is doing on a day

58:03

and I can tell you what else is up. If

58:06

you tell me it's what's it's down by 1%.

58:08

Like, okay, then a whole bunch of semi

58:11

some unrelated stocks

58:13

should be unrelated. I can tell you if

58:15

they're what they're doing. They'll be

58:16

up, you know.

58:18

And like I play that game often where

58:20

you

58:21

just go look at the SMH, can tell

58:22

yourself

58:23

okay, guess what else is happening in

58:25

the market today. Pull up your heat map

58:26

and you're right.

58:28

>> So how do we get this world where people

58:30

are saying, well, correlations are low,

58:32

but we can all see these sector-level

58:35

correlations plain as day.

58:38

Is it just that we've kind of just found

58:40

an equal balance between these two

58:42

trades

58:44

that that is causing this? I mean, cuz

58:46

again, some some Caliban data that I

58:48

looked at was

58:50

you know, just how the sectors were

58:51

performing through Q3. Energy was the

58:54

top, health care, financials,

58:56

materials then. But at the bottom

58:59

actually was industrials and utilities,

59:01

which by and large were beneficiaries of

59:04

the AI build-out trade.

59:07

>> Yeah, I mean, I think if you you really

59:08

got to build the basket different from

59:10

the GICS sectors because there's like

59:12

there're beneficiaries in industrials,

59:14

but then there's losers in industrials

59:16

and there's certain utilities that

59:18

benefit and there's certain utilities

59:19

that don't benefit and

59:21

there's rates risk in that, too. You

59:24

know, I think that part of the most

59:26

interesting side of the

59:28

equal weight going up is in the face of

59:30

rates going up cuz I usually think of

59:32

like in order to get an equal weight

59:34

breakout, you need rates to come down.

59:36

It's a much more rate sensitive sector

59:37

because things like REITs and things

59:39

like utilities and things like staples

59:41

get it get the same weight in that. So,

59:44

um

59:45

it's the it's hard to operate from the

59:47

GICS sector level and draw really strong

59:51

conclusions.

59:52

Um I just think that this is the theme I

59:55

I don't have like a great academic

59:57

answer. I just look at the market and

59:59

can tell you this this pattern is is

60:01

very much in place at this point. I

60:03

think that it's probably a combination

60:05

of

60:06

the multi-strats that are putting so

60:08

much money to work on a day-to-day basis

60:11

and they like to pair trades together

60:14

and they want to have they want to be

60:16

long AI they want to be long AI or get

60:19

out of the AI trade. They are going to

60:20

go into the names that we know, the AI

60:22

basket. And if you're going to go into

60:24

that and you want to be short market

60:25

risk or you want to be short some other

60:27

factor,

60:28

that leaves your your you can do it by

60:31

saying like, well, I want to short

60:32

software cuz I get more juice there. You

60:34

could also short totally unrelated

60:36

things like Campbell Soup and Hershey's

60:39

chocolate and

60:40

um just just you're like, these things

60:43

have nothing to do with AI. They're just

60:45

overvalued rate sensitive general

60:47

stocks that I can, you know, pair a long

60:50

position with. So, that's been what I've

60:52

thought we call them funding shorts.

60:54

Funding shorts they they they're kind of

60:57

all over the spectrum.

60:59

In my view, like, what you need is

61:02

something to break that. In order for

61:03

the market to get out of this grind

61:05

higher period, you need something to

61:06

break that, which goes back to the

61:08

either a macro risk on the downside

61:11

um or an earning story you can tell

61:14

yourself

61:15

uh that propels things as a group

61:17

higher.

61:18

>> All right. So, I I want to close with a

61:20

final question about if we do get that

61:22

macro risk to materialize,

61:24

the trade has been

61:26

to fade that risk and to pile in to what

61:29

was working before prior to the risk

61:32

that has has by and large been the trade

61:34

going back to the tariff tantrum

61:37

um in 2025.

61:39

Uh do you think that if we do get this

61:42

this materialization of correlations

61:45

spiking to one event, that that one is

61:49

the market going to react that way? Are

61:52

we going to have the same reaction

61:53

function of people piling back in? And

61:54

And two, do you think that's going to be

61:56

the right trade?

61:57

>> I'll answer the question, but I don't

61:59

think it's smart to plan these things in

62:01

advance because you have to see how that

62:03

macro if the macro risk really happens,

62:05

then you have so many other sub

62:07

questions you have to answer to get

62:08

there. But I my general zooming out like

62:11

let when the dust settles, I want to be

62:13

long the AI trade. That's I That's the

62:15

theme. If you want to If you're managing

62:17

just going back to like why are all

62:19

these multi Why are the pods trying to

62:21

be long AI and short something else?

62:23

What's going to push this market higher?

62:25

How does How does this thing end? Like

62:27

you either believe in the AI story you

62:29

don't at this point. Either you think,

62:30

you know, this is just like a big

62:32

malinvestment bubble.

62:34

And

62:35

or you or you believe or so my view is

62:37

that that's all roads lead back to those

62:39

AI trades. Um

62:41

and you know, like that's that's the

62:43

leadership spot and that's where you

62:44

want to go. Obviously, there'll be like

62:46

a general bounce at first, but like if

62:48

you really want to

62:50

if you really want to fade that macro

62:51

risk, that's the place that's going to

62:53

give you the best bang for your buck.

62:55

>> Yeah. Well, I will close with just

62:57

saying if you are somebody who's in the

62:59

in the money management space, you're in

63:01

financial research, uh you know, Jack

63:03

and I have gotten a tremendous um

63:06

tremendous productivity out of using

63:08

Caliban AI from 314 Research and we had

63:11

do have a special offer for for

63:12

listeners. If you go to

63:13

314research.com/monetary-matters,

63:18

you can get special pricing for Caliban.

63:20

So,

63:21

the thing that is nice for for me is is

63:24

trusting the data. Just trusting that

63:25

the data is there, that these are

63:26

questions that it's working through all

63:28

the time. It's not a new question that

63:30

it's it's trying to attack for the first

63:31

time. So, uh we'll just throw that out

63:33

there. Um Warren, thank you so much for

63:36

joining us again on the podcast.

63:38

>> Thank you for having me. Thanks for

63:39

tuning in. Looking into HFGM by

63:41

Unlimited? Head to

63:43

unlimitedetfs.com/hfgm

63:46

to learn more. That's

63:47

unlimitedetfs.com/hfgm.

63:50

Until next time.

Interactive Summary

This episode features Warren Pies from 314 Research discussing the current state of macro risk, market positioning, and the influence of AI on the economy. Pies explains why they recently downgraded their stock outlook to neutral, citing a potentially unfavorable period between mid-August and mid-October. The discussion covers the Fed's stance, the political pressure influencing monetary decisions, and the importance of diversification, particularly through energy assets. Furthermore, they analyze the 'AI trade,' including the role of semiconductors, the impact of potential IPOs like Anthropic, and the importance of monitoring data-driven signals regarding compute demand.

Suggested questions

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