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AI Trade "Dead Money" For Now - But Macro Overall Is "Pretty Risk-On" For Stocks | Tian Yang

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AI Trade "Dead Money" For Now - But Macro Overall Is "Pretty Risk-On" For Stocks | Tian Yang

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1940 segments

0:00

I'm not saying it's going to crash. I

0:01

think AI is real. It's just more it's

0:02

going to be dead money for a while.

0:03

Think of what Bitcoin's done since 2025,

0:06

right? Or what Gold's done this year

0:07

after the crash. I'm joined once again

0:09

by Tien Yang, co-founder and head of

0:11

research at Variant Perception. Tien,

0:14

what do you think about the stock market

0:16

right now, the S&P, the NASDAQ, the

0:19

semiconductor stocks? They have been

0:21

trading quite weakly for the past month.

0:24

Do you think that this is a bottom? So I

0:28

I think time horizon matters.

0:31

So on our macro risk indicators that

0:33

generally looking forward more 3 to six

0:35

months, we're still in a risk on uh

0:38

macro regime where it sees the mix of

0:41

growth, inflation, policy, liquidity is

0:43

broadly still supportive risk assets. So

0:45

in general, I think the environment is

0:46

still good. Um, now clearly with the the

0:50

kind of hype around AI, the kind of, you

0:53

know, mania in Korea, there's there's

0:54

obviously signs of excess linked

0:57

specific specifically to AI. And that's

0:59

clearly why we've obviously had that

1:01

bubble like price action. You had a

1:03

bunch of LPPPL bubble exhaustions go off

1:05

in early June. We've had the correction,

1:07

but from here, I would say that this is

1:10

kind of like what the golden Bitcoin

1:11

tops felt like. Because if you go back

1:13

to like summer of 2025, it's kind of

1:15

like the fundamental story hasn't really

1:17

changed, right? Like you know Trump's

1:19

going to be a great crypto president. Uh

1:21

you know they're going to pass a genius

1:22

act all that but you know you despite

1:25

that the price action just exhaust

1:27

similarly for gold at the beginning of

1:28

the year and I think you're a little bit

1:30

at that stage with semis where there's

1:32

enough like underlying things on

1:34

bottlenecks and you know the future

1:36

that's all still intact. the

1:37

fundamentals haven't changed, but the

1:38

price action is kind of telling you, you

1:41

know, it's become like a meme. Too much

1:43

money's got in and typically when that

1:45

tops and rolls over is is quite hard for

1:47

it to regain the highs. Obviously, we're

1:49

well well below the highs. So,

1:51

certainly, we're recording this just as

1:53

we have the situational awareness news.

1:55

So, certainly, yeah, sure, could you get

1:56

like a very sharp squeeze, a tradable

1:59

bounce? Absolutely. But I think the the

2:01

medium-term picture is that you we need

2:03

like a new narrative, right? The

2:04

narrative around agenic AI, the

2:06

narrative around bottlenecks, that's

2:08

what fueled this leg of the rally from

2:09

April on. That narrative is clearly done

2:12

and we're waiting around for the next

2:14

narrative. Maybe it's going to be like,

2:16

you know, real world world modeling like

2:18

things like that, right? You need

2:19

something else really to come along with

2:20

like a wow moment. I I think for us to

2:23

really get back to the high. So yeah, I

2:25

I think the we're more in the kind of

2:28

phase of the market where the equity

2:30

market is broadening out. the money is

2:32

not necessarily leaving the market. It's

2:34

just rotating to lagards and other areas

2:36

which generally I think reflects the

2:38

risk on. So yeah, I think broadly equity

2:41

outlook is fine but on the semi

2:42

specifically I think we in terms of our

2:45

positioning we're keeping some of the

2:46

exposure but we we're really been

2:48

rotating to more of kind of the the

2:50

value lag has been kind of popping up

2:52

the portfolio in July right so you know

2:54

only energy only financials only

2:56

healthcare those have been pretty

2:58

important as kind of more portfolio

2:59

balanced. Tell me about the LPPPL

3:02

exhaustion signals. Remind me what that

3:05

stands for. Why did what what were the

3:08

signals you got, you know, a month, two

3:10

months ago about there's too much risk,

3:13

too much leverage in Korea, exhaustion?

3:15

And also, do the signals work the other

3:16

way? Are you getting bullish LPPL

3:18

signals or do they only work on the

3:19

downside?

3:20

>> They should work both ways. So LPPL

3:23

stands for log periodic power law. So

3:25

it's our uh bubble and crash detection

3:29

system. So, it's kind of designed to

3:31

kind of get you that final O of F leg of

3:35

the move that typically is not obvious,

3:37

right? It's more like after something

3:38

has been moving exponentially for a

3:40

while, it looks like it's stable, but

3:42

then because inherently of like just the

3:45

way markets were forced forced price

3:48

action, there's always that final leg.

3:49

Like recently, we had it on China for

3:51

example, right? China sold off, sold

3:52

off, sold off, just kept going lower. in

3:54

May, April, it looked like it was

3:56

bottoming and you have a final of lag in

3:58

June and then it was in June that all

4:00

the LPPL buy signals went off. Similarly

4:03

on the semi you know when it was

4:05

rallying up in April in May midMay it

4:08

kind of was like wow this is a bit much

4:10

but then it has that final leg up and

4:12

then it triggers the model. So it's kind

4:14

of designed to catch these log periodic

4:16

power law waves. So you can think of

4:18

these as um just essentially a pattern

4:20

matching uh model, but it's it's really

4:23

looking for not just things to be

4:24

exponential, but that the the kind of

4:27

wave pattern the market speeds up as

4:29

it's going exponential. And that's

4:30

typically what you see at the end of

4:31

these exhaustion moves. So you kind of

4:33

saw

4:35

uh you know a bunch of these from the

4:37

beginning of June as we were kind of

4:39

making the uh making the new highs. And

4:42

so typically these are more tactical

4:43

models. You know they typically are good

4:45

for the next months. So they're not

4:47

necessarily long-term models, but they

4:48

give you a sense of when things are

4:49

extreme to fade, right? So the most

4:52

recent has been obviously all the

4:54

semi-AI related cells and then the

4:56

China, you know, Indonesia, a lot of

4:57

these lagard, you know, bias things

4:59

we've been writing about and so

5:01

obviously you've had that convergence.

5:03

Yeah. So I I would think of it very much

5:05

as a tactical model to complement your

5:07

kind of medium-term views. Um, in

5:09

practice, the way we would use it is you

5:12

have thematic investments or stocks or

5:14

concepts you like. That's really about

5:15

the next three to six months and you use

5:17

LPPPL to help you with timing in and out

5:19

and for managing exposure around it.

5:21

>> And are you getting LPPL exhaustions to

5:24

the downside indicating bottoms in semis

5:26

in NASDAQ or no? Not yet.

5:28

>> Uh, it's not you're getting a little bit

5:30

on like more the intraday, right? So,

5:32

obviously on like the hourly 15 minute

5:33

like there was a bunch of those

5:34

yesterday. So, I think that would that

5:37

would fit into the kind of situational

5:39

awareness, right? Like the short-term

5:40

liquidation, but for like the daily

5:42

frequency, the medium-term, you're not

5:44

quite uh quite there yet. So, I I would

5:48

say you've gone from like extremely

5:50

crowded on the long side to now clearly

5:52

it's uncrowded, but not extremely. So,

5:55

>> you you said agentic AI is kind of over

5:59

as a growth factor of the semiconductor

6:01

AI trade. Tell me about why you said

6:03

that. I think we think of investing as

6:06

partially trying to understand cycles,

6:08

but a lot of it is about playing the

6:09

game, right? You got to understand the

6:10

narrative. It's like a scurve, right?

6:13

Like the narrative diffuses out. A

6:14

narrative starts somewhere and it

6:16

diffuses out. Lots of people start

6:17

participating and then like everybody

6:19

knows it. By the time everyone knows it,

6:20

we have to ask what's the next

6:22

narrative. So I think the AI trade has

6:24

been capitalized by multiple legs of

6:26

suddenly a new narrative takes hold and

6:28

it slowly bleeds out to everyone. But by

6:30

the time everybody's aware of it and

6:33

understands the ceases, usually the it's

6:35

pretty late in the game. And so every

6:37

time you get these big outsiz moves to

6:40

new highs, you need a new narrative. And

6:42

I think the the agenic AI was obviously

6:46

going back to December last year was

6:47

clawed code and these oh wow agents is

6:49

new and then suddenly people start

6:51

figuring out okay what are the

6:52

implications and turns out okay there's

6:53

all these new bottlenecks because we

6:55

need way more compute way more these

6:56

things than anyone expected. So the

6:58

bottlenecks and all these things start

6:59

working really well right as investments

7:02

and and then what we saw with the kind

7:04

of blowoff top was these things start to

7:06

exhaust right the prices are telling you

7:08

this narrative is well known it no

7:10

longer reacts you've had multiple you

7:12

know if you think all the way back to

7:13

when Broadcom had earnings right and

7:15

then subsequently multiple companies

7:17

obviously by SK not all of these and it

7:20

stops reacting that's just telling you

7:22

it's kind of

7:23

>> yeah I I think markets generally going

7:25

to top before the fundamentals change

7:27

before analyst earnings move.

7:28

>> So, I think we're at that stage and

7:30

we're just sat around waiting for where

7:32

the next leg of of the narrative is. And

7:35

until you have that, I think it's more

7:37

I'm not saying it's going to crash. I

7:38

think AI is real. It's just more it's

7:39

going to be dead money for a while. I

7:40

think of what Bitcoin's done since 2025,

7:43

right? Or what gold's done this year

7:44

after the crash. It just stops doing

7:47

anything. Um, and I think that's more

7:49

the it feels like where we're at.

7:51

>> So, what's not dead money right now to

7:52

you?

7:53

>> Like it depends on like what your

7:54

mandate is. I would say if you give me

7:56

any trade within global macro equities

7:59

everything live right now we really like

8:02

buying a Sonia Sonia futures so betting

8:05

on the bank of England to be less

8:07

hawkish right like UK has really high

8:09

rates but there's lots of growth and

8:11

inflation downside risks so it's a

8:13

pretty big outlier so I think that's

8:14

like the cleanest thing live today we

8:16

did have on short Swiss EM but as we're

8:18

recording this like the BJ's intervening

8:20

overnight so I think that so I think

8:22

that's slightly done for now and then

8:25

within equity space in terms of how

8:27

we're positioned if you look at our uh

8:30

VPX ETF we're basically running a

8:32

barbell of long energy long financials

8:34

and we're actually starting to buy back

8:37

into the the kind of tech and semi names

8:39

has crashed so I think we had a pretty

8:41

long pretty big long all the way into

8:42

May we d-risked a little bit but that

8:44

definitely has hurt performance a bit

8:46

but it's been offset by the energy and

8:48

financials piece so we still kind of

8:50

have this barbell of you have like value

8:53

exposure with a little bit of the

8:55

secular growth, but you you're just kind

8:57

of tweaking that um just so your

9:00

portfolio overall has kind of a better

9:02

kind of risk return profile.

9:04

>> Why financials? Why energy? And why did

9:07

you say a few minutes ago that the the

9:11

macro is fundamentally risk for

9:13

equities? Why is that the case?

9:16

>> Yeah. So the way our macro risk models

9:19

work is that it's basically a bunch of

9:21

uh decision trees right that tries to

9:24

understand macrocausality. So it's like

9:26

lots of decision trees that goes through

9:28

things like how is our US growth lead

9:30

indicator right and how is our ch China

9:32

growth lead indicator and how's policy.

9:34

So it's asking a bunch of these

9:35

questions and right now what it's saying

9:38

is yes inflation is high Iran has been a

9:41

problem. So as a result uh the inflation

9:44

component is no longer very risk on it's

9:46

going to constrain policy but there's no

9:48

real reason for central banks to hike

9:50

aggressively. Growth lead indicator is

9:52

broadly okay and liquidity on our models

9:56

are still fine right there's a long lead

9:57

lag from when liquidity tightens to when

9:59

it actually hits. So that that's kind of

10:02

more like that again there's lots and

10:04

lots of decision trees that come through

10:05

the model. It's a gradient boosted model

10:07

but basically if you net everything out

10:08

it's kind of telling you growth is still

10:09

fine. It's not amazing, not terrible,

10:11

but fine. Yes, inflation is high, but

10:14

not overly so. This isn't like 22. On

10:16

the policy front, people are overly

10:18

worried about big tightening cycles

10:20

everywhere. Obviously, we have um you

10:21

know, the Fed this week, right? They

10:23

didn't hike. Now, August, there's no

10:25

meeting again. Are they going to really

10:26

try and force a hike like midepptember

10:29

so close to midterms, right? So, again,

10:31

I think it's it's probably unlikely. So,

10:34

so again, policy is not a huge problem.

10:36

And then liquidity, yeah, the fact that

10:38

equities are broadening out. you look at

10:39

value line arithmetic the average stocks

10:41

making higher higher high higher low

10:42

that's typically not what you would

10:44

expect to see if there's truly a lack of

10:46

liquidity and net money going into into

10:48

equity market so yeah so high level

10:51

that's why I think that the macro is

10:52

pretty risk on um in terms of signpost

10:56

for what end of cycles look like there's

10:58

two key things we've seen out all the

11:00

major generational tops if you go back

11:02

to Nifty50 and in the 70s do 1929

11:07

what the two consistent The top down

11:09

things is one is that monetary policy

11:13

has generally been tightening for 6 to9

11:15

months right so we don't quite have that

11:17

obviously if if the W Fed does stop

11:20

hiking then clearly that starts the the

11:22

clock ticking but generally you have

11:24

monetary policy tightening for six to

11:25

nine months while

11:28

while it's they're tightening you see

11:30

equity breath narrow and the definition

11:32

is why I mentioned value line arithmetic

11:35

or these median stock the median stocks

11:38

going up, right? It stops making high

11:39

higher lows, but the concept stocks keep

11:41

going up, right? Generally, when you see

11:43

those and you see that those for like

11:45

six to nine months, that's generally

11:47

been like the absolute like peak of the

11:49

generational cycle. And what's very

11:51

interesting is they were generally lined

11:52

up with big events, right? So, AOL, Time

11:55

Warner or these kind of major events

11:56

people talk about. And obviously, we

11:59

have a few candidates this time around,

12:01

right? Anthropic will try to IPO in

12:03

October, but maybe OpenAI is going to be

12:05

like the single most important company

12:06

in the world right now. Like you know,

12:08

if they try and get the IPO off, maybe

12:11

it's end of the year, maybe it's Q127,

12:13

that could be the moment, right? That

12:15

marks potentially the top that might

12:17

line up with when these macro factors

12:19

are in place. So, so I think if it's

12:21

like our models are telling us things

12:23

are fine, when we've studied history or

12:25

thought about it, we're like, okay,

12:26

these are the signpost. If we start

12:27

seeing it, we need to start being

12:28

careful. the model might not understand

12:30

the nuances but right now we don't have

12:34

those signs and the model's still fine.

12:36

So broadly it remains risk well breadth

12:39

in terms of how many stocks are going up

12:42

and doing well breadth has been

12:44

extremely good like even though the

12:45

semiconductor space and NASDAQ has kind

12:47

of melted down over the past month and a

12:49

half. The S&P has really held in there

12:52

much more than I would have thought had

12:53

you told me there'd be such a you know

12:55

literally a bare market in the NASDAQ

12:57

and we're down at like 20%. Yeah, and

13:00

like I say, I think broadly the not not

13:02

only are models saying it's risk on, you

13:04

have lots of confirming data points,

13:06

right? If you look at credit spreads,

13:08

especially adjusted for sovereign risk

13:09

premiums, credit spreads in like a

13:11

normal range. It's not super low, super

13:13

high. Uh savings rates remain very low.

13:16

So, you know, like from a colle point of

13:18

view, like money just flowing around the

13:19

economy, one person spending someone

13:21

else's income, right? Just going around.

13:23

So, yeah, there's been a lot of insider

13:25

buying, right? despite all these things

13:28

in there's like a flood of insider

13:29

buying globally across lots of different

13:32

stocks. So yeah, these are not what you

13:34

typically see at the imminent top. Um

13:37

you know we did our exercise before,

13:39

right? We have this market top checklist

13:40

that we run through periodically from

13:42

all the different factors on like

13:44

behavioral, corporate, economic and

13:46

really when you run through the market

13:47

top checklist it's more like an amber

13:49

warning like what is excessive is the

13:52

corporate behavior right the circular

13:54

financing you know Nvidia is basically

13:56

like behind every has to prop up

13:58

everything else right because you know

13:59

there's a struggle for credit right CDS

14:01

is widening for hyperscaler so forth so

14:03

you see some of those signs you see some

14:05

of the the retail excesses like with

14:08

Korea you with with like kind of the

14:10

news guru investors obviously

14:14

just because it is a live news right for

14:15

example Leopold the fact that you know

14:18

my Chinese cousin might know who he is

14:20

right

14:20

>> yeah like like you know these kind of

14:22

things so those were were kind of the

14:24

the red alerts but you were missing the

14:26

economy right the economy wasn't slowing

14:28

down

14:29

>> right you were missing the market

14:30

internals right like those were the

14:31

things that you typically see so at the

14:33

top you need to see all these things

14:34

lined up and we really in aggregum will

14:36

have like amber warnings um that they're

14:39

kind of full reds at the moment.

14:41

>> Why did the economy hold up? Why with

14:43

the price of oil going to 120 bucks, gas

14:46

going up so much in the US, in Europe,

14:48

it being even worse, why has the economy

14:51

held up? Has the economy held up? That's

14:52

my first question.

14:53

>> Yeah, I think our models has been fine.

14:55

Again, it's not too hot, not too cold.

14:56

We would say somewhere between one and a

14:58

half to two, probably closer to 2% real

15:00

growth in the US. Um well, obviously

15:04

everyone knows the answer, right? this

15:06

AI AI capex that that's been one piece

15:08

uh that that's been helpful. But the way

15:10

I frame it is this idea of like I

15:13

mentioned collect right this idea of one

15:15

person saving is somebody else's income

15:18

that isn't that that wasn't realized. So

15:21

one person spending is very important

15:23

because the more you spend the more

15:24

that's somebody else's income and they

15:26

can spend an economy works because money

15:28

flows. So what we've actually observed

15:30

is that um for the corporate sector as a

15:34

whole there's obviously a lot of capex a

15:36

lot of investment so corporates are

15:37

dissaving that's providing a net income

15:39

to everyone else at the same time the

15:41

fiscal side tariff refunds right OBBA

15:45

frontloading again fiscal ended up not

15:48

being that bad right our best neutral if

15:51

not even a slight slightly of a positive

15:53

impulse so again that's providing net

15:54

income to other people and then at the

15:56

same time there's all these concerns

15:57

about oh yeah K-shaped

15:58

uh consumer like oh um you know

16:03

delinquencies are bad all these things

16:04

but the key is household savings remain

16:06

low. Now you can argue it's dystopian

16:09

lower income consumers can't save

16:11

they're living paycheck to paycheck but

16:13

what's happening is they're getting a

16:15

lot of they're getting maybe multiple

16:16

jobs and what income they get they spend

16:18

so the savings rate remains low. So if

16:20

everybody's savings rate is low and

16:22

going down, that's somebody else's

16:23

income. It just keeps flowing. And I

16:25

think that's basically been the case um

16:28

for the economy. And that's still

16:29

basically the case right now. Like the

16:31

time to worry is when people start

16:34

saving more. So for example, if suddenly

16:36

the hyperscalers go right, we're going

16:38

to cut capex. That's at the margin more

16:40

saving from corporates. That's bad.

16:42

That's why I'm

16:42

>> well tien tien you know Meta reported

16:45

Microsoft reported Meta basic they

16:48

raised their capex by the range just a

16:50

tiny bit I would say it's a very anemic

16:52

raise and then Microsoft literally held

16:54

their capex guidance flat and so what do

16:56

what do you when companies are raising

16:57

capex and capex and then what do they

17:00

have to do before they cut capex is they

17:02

keep it flat so I'd say that's not even

17:04

though the semiconductor stocks are one

17:06

of the biggest days today in the rally

17:08

and you know technically in my personal

17:09

portfolio like I guess is a very very

17:11

good day. But I guess the the reaction

17:13

is a lot better than I would have

17:15

thought based on the capex from

17:16

Microsoft and Meta,

17:18

>> right? So I agree. But I think we got to

17:21

think of it what makes this cycle

17:24

slightly different I would say to you

17:26

know when people think of railway mania

17:28

or like com is they tend to be more

17:31

heavily private sector only driven

17:33

whereas obviously we have this I think

17:35

you know even when I spoke to you

17:36

previously right we've been talk we have

17:37

this whole 5 to 10 year theme for

17:40

investing called essentially the primacy

17:41

of sovereignty right sovereignty is the

17:44

most important lens in which think about

17:46

every investment decision there's a

17:48

existential US China like competition

17:51

going on in all the kind of key pillars

17:53

of sovereignty from energy to

17:54

manufacturing to technology, right? So

17:56

what makes this cycle trickier is even

17:59

if you fully exhaust the private

18:01

sector's ability to fund the capex, the

18:03

government will find ways to try and

18:05

step in, right? And and you see the

18:07

heavy involvement, you know, the

18:08

Ministry of Defense um or I guess

18:11

Department of War, right? Like you can

18:12

see lots of government um involvement in

18:16

all these sovereignty pillars, right?

18:17

and that will keep going and they will

18:19

backs up and try and facilitate

18:20

financing if the private sector starts

18:22

exhaust and in a way it's just mirroring

18:25

what China does right you can think of

18:26

this as a national balance sheet just

18:28

like in China people are very

18:29

comfortable with idea okay the Chinese

18:31

business and Chinese government the same

18:32

thing but you so you can view as a

18:34

national balance sheet and they use it

18:36

well in the same way the US needs to do

18:38

the same the max 7 and the US treasury

18:41

that's one balance sheet that needs to

18:42

be used to facilitate um this buildout

18:45

right to ensure the US's sovereignty it

18:47

does not have huge dependence. So I

18:50

think that's the part that's trickier

18:51

that will keep the keep the the kind of

18:54

caps out going longer um than people

18:57

expect but for sure right at the margin

18:59

the first sign would be these guys

19:00

slowing down.

19:01

>> Yeah I mean I will say the back stop

19:02

that Nvidia is providing it does seem

19:04

like the companies are going to use that

19:07

and I think I mean cap I think capex is

19:10

going to go up by a lot over the next 18

19:13

months. I uh

19:15

>> and and and I think that's the thing

19:17

where it's very easy to have a initial

19:19

dismissal of circular financing right

19:21

but fundamentally circular financing is

19:23

no different in my mind to any other

19:24

forms of financing on the way up and

19:26

that's the key on the way up so uh uh

19:29

you know we talk a lot about this you

19:31

know I'm a big fan of Harry Merlin's

19:33

work right you know like obvious I think

19:35

you've you know he obviously he's he's

19:37

not a super um frequent guest on shows

19:40

but obviously Pirate shows up but the

19:41

core idea is the hierarchy of

19:43

Right? So the core idea of the hierarchy

19:45

of money is the quality of money matters

19:47

only in the downside only when things

19:49

are turning down. When things are good,

19:51

transactions can be settled by whatever

19:53

people willing to to accept, right? It

19:55

doesn't matter what par value is, it

19:56

doesn't matter anything else. So we're

19:59

if we're in the upcycle, people willing

20:01

to yeah accept Nvidia's backing or

20:04

accept compute or whatever, right?

20:06

Whatever things that are not cashlike,

20:08

it's fine. the the the problem is when

20:10

you start to see the first signs that

20:12

people demand cash settlement, right? At

20:14

some point, we're going to turn around

20:15

and go, "Right, we need cash settlement

20:16

for these things." And that's when all

20:19

the kind of like transactions that were

20:21

built on these pledge things start to

20:23

unwind, right? I mean, you see in the in

20:25

the credit space, right? Payment in kind

20:26

instead of forcing cash settlement.

20:29

There's lots of these things. So, I

20:30

think as long as the cycle's turning up,

20:32

that's all fine. But the moment we start

20:34

to see the demand for cash settlement,

20:35

it starts becoming bit more of a

20:37

concern. And that's and I will say like

20:39

that's why these mega IPOs matter,

20:41

right? Because SpaceX the first one is

20:43

like, "Hey, we need cash settlement.

20:46

We can't just take stock or other

20:47

things. We want to start seeing cash."

20:49

And then as more and more of these come

20:50

in that that will start to I think

20:52

potentially create downside risks.

20:54

>> Ten, have you ever seen a stock trade as

20:56

badly as SpaceX from the IPO? It

20:58

literally goes down every single day.

21:00

And it's funny. I think if you had

21:02

asked, you know, 10 financial pundits,

21:04

how do you think SpaceX trades? Uh, I

21:07

think many of them, you know, my partner

21:08

Max said, "Oh, well, there's so much the

21:10

unlock is ridiculous. There's going to

21:11

be so much selling. It's not going to do

21:13

well at all." And normally, like some of

21:15

the times the pundits are, you know,

21:17

that's it's too easy. It's too easy. But

21:19

like, literally, it's SpaceX just goes

21:20

down every single day. And it's still

21:21

not cheap by any metrics. And I mean

21:25

literally, okay, if if data centers in

21:27

space are going to be a thing, like buy

21:30

silver, you know, like because the data

21:32

centers need more way more silver in

21:33

space and they can't they they have to

21:35

disintegrate when they go back into the

21:37

earth, so they can't be recycled, which

21:38

is key for silver. So like I think like

21:40

if you're going to have some ridiculous

21:42

thing about data centers in space, which

21:43

is probably is going to happen in like

21:45

20 to 50 years, I don't know about five

21:47

or 10, then like there's a lot of other

21:49

ways to to play it. And it just seems

21:52

very very speculative. I don't know. And

21:53

and just broadly, how concerned are you

21:55

about these mega IPOs that are requiring

22:00

tons of capital to be spent and

22:02

basically be sucked out of the market?

22:04

People have to sell Nvidia to buy

22:05

SpaceX. That's just a fact. And when

22:07

Anthropic and Open AI go public, if if

22:09

they do, which they probably will, you

22:10

know, people have to sell more Nvidia.

22:12

>> I guess the first thing is I I I get

22:13

what you're saying on the you know, like

22:15

when all the experts agree, something

22:16

else happens, right? That's like the

22:18

very famous Bob Farrell uh quotes. And

22:20

you know we saw that with oil for

22:21

example right every oil expert agreed

22:23

and something else happened. So I think

22:25

typically those things happen because

22:27

>> uh humans and markets are not good at

22:30

pricing kind of the reflexivity the

22:33

second order path dependence. It's very

22:35

good at pricing first order and seeing

22:37

it but we we tend to miss the second

22:39

order which is when everybody sees it

22:41

tends to be a policy reaction right that

22:43

shifts things. And so I think that's my

22:46

mental model for why when all the

22:47

experts agree on something macro, it

22:49

often doesn't work because there's a

22:51

policy shift um from the policy makers

22:54

that suddenly change the dynamics. But

22:56

on something like the IPO lockup is it's

22:59

very unlikely for there to be a policy

23:01

shift. Like it's very unlikely like you

23:03

know the Fed or whoever is going to look

23:05

at space as going down and decide to

23:07

change. So then maybe that's why, right,

23:09

if you think back to when Facebook at

23:11

the time, right, IPOed after a while was

23:13

just like down down down. Um, so yeah.

23:17

Yeah. I I'm with you. I've been

23:19

surprised though how on time it's been,

23:22

right? You expect all the you expect all

23:24

the book runners to do a good job and

23:26

pump it, which they do.

23:27

>> Yeah.

23:28

>> And then you Okay. And then the passive

23:30

index buyers bid it, which they do. And

23:32

then you know the unlocks really start

23:34

in July and they do and it just starts

23:36

going. So but like I said I think

23:39

there's no second order reflexive kind

23:42

of shift in behavior that results versus

23:45

a lot of those other examples which is

23:47

probably why you know it's carrying on.

23:49

How low can it go? I don't know but like

23:51

maybe 80 is like a okay level. Um just

23:55

thinking

23:56

>> yeah I mean I what is the floor like

23:59

there's no valuation floor. I mean, I'm

24:01

a I'm a fundamentals guy in deep in my

24:03

heart. There's no fundamentals. There's

24:04

no valuation floor. I mean, the uh you

24:07

know, the space business loses money.

24:09

The Starlink business makes a lot of

24:11

money, but then they're spending so much

24:13

money on the data center business, which

24:16

is his new thing. And look, Elon Musk is

24:17

the best hardware person in the world. I

24:20

not not going to bet against him there,

24:21

but it's just the there's nothing in the

24:24

numbers to say, "Oh my god, yeah, it

24:26

$70. It can't go below $70. Once it hits

24:28

$70, it's it's cheap. Like, no way.

24:32

>> Maybe it's a trading vehicle, right?

24:34

Yeah.

24:34

>> Yeah.

24:35

>> But I've I've learned my lesson on like

24:36

looking at Tesla. If you look at the the

24:38

amount of people that got burned, both

24:39

long and short, on Tesla, it's kind of

24:42

like

24:42

>> true. And yeah, Tesla's fundamentals

24:43

have gotten worse. Like literally

24:45

revenue declines in some the sectors,

24:47

literally cars, and the stock has been

24:50

flat to moderately up. So, yeah, it's

24:52

it's it's

24:53

>> no robots,

24:55

>> right? Like that's the thing. So, too

24:56

hard.

24:57

>> Yeah. So Tan, how do you think about

24:59

oil?

24:59

>> So we've actually we're running a pretty

25:02

big overwway on energy right now, but we

25:04

actually have not until about May. So we

25:07

did get hurt a little bit on the May leg

25:09

and it's been doing okay. I think of it

25:12

as like I don't really need oil prices

25:14

go up to justify the fundamentals here,

25:16

right? Cracks bears are super wide. As

25:18

long as you you own like the

25:19

integrators, the refiners, they should

25:21

be making hay and printing money. And

25:24

just please please just don't do dumb

25:25

things and destroy it. just like return

25:27

it to shareholders, buy back shares,

25:29

free cash flow. And obviously, it's a

25:31

very natural portfolio balance, right?

25:33

like is the one thing that's going to

25:35

break is going to be a prolonged

25:38

inflation/stackflation

25:40

scare that keeps longer end yields high

25:43

and longer yields high is not good

25:45

because everything else we discuss

25:47

ultimately there's a lot of capex of

25:49

finance and so I think it's so to the

25:52

extent you have equity risk which

25:53

basically just AI risk this becomes like

25:56

a really obvious um kind of balance

26:00

against that right so so that's probably

26:02

the more the way

26:04

Uh, I think about it right now. Um, in

26:06

terms of the Iran war, it's funny like I

26:09

think I I I like on the eve of the war I

26:11

had the I actually spoke with Max. I

26:13

think we recorded something literally

26:15

like the day or the day after had to

26:16

like have some hot takes and stuff. Um,

26:20

but I I would say the I think the China

26:24

US trade war is a very good template for

26:27

kind of how the politics of it goes,

26:28

right? that when the US and China

26:30

reached that phase one trade deal back

26:33

in like you know 2019 2020 whenever they

26:35

announced it that was basically as good

26:37

as it got because the fundamental issue

26:39

is irresolvable from both sides and Iran

26:42

and the US the same the fundamental

26:43

thing both sides want is just not

26:45

possible right it's irresolvable so I

26:47

think theou is kind of that phase one

26:49

trade deal that you both agree that you

26:51

see where the ledge is and neither side

26:53

wants to jump but from there you know

26:55

you can't really close the gap so then

26:57

you go for a period of both sides

26:58

overplaying their cards a little bit

27:00

thinking you have leverage but the

27:02

reality is like it's not a closable gap.

27:04

>> Yes, I I agree. If you look at US,

27:08

Israel and Iran, there's nothing in the

27:10

world that could satisfy all three

27:12

parties. Nothing at all.

27:14

>> 40 years you got we're supposed to fix

27:16

40 years of you know issues in in how

27:19

many weeks and months. It's I would say

27:21

it's probably more the second order. I

27:23

mean, something that's probably

27:24

undertalked about was the the Saudi

27:26

Arabia nuclear deal, right, that got

27:27

announced. Like those things are really

27:30

norming

27:31

and like I think just like you this is

27:34

where I think the Trump administration's

27:36

pragmatism could really have some

27:37

long-term actual consequences, right?

27:40

Like you're injecting a lot of these

27:41

things that are breaking how the region

27:44

operates normally. And so, yeah, like

27:47

you know, if you're the rain seeing that

27:48

deal, like what incentive do you have to

27:50

give in?

27:51

>> Yes. Yes. And and also I think that the

27:54

conditions that the US and Israel

27:56

initially demanded of Iran of literally

27:58

no enrichment at all that is something

28:01

that extremely few countries have ever

28:03

agreed to. Like I think maybe the UAE or

28:05

Bahrain like like being able to you know

28:08

uh enrich uranium to to have nuclear

28:11

energy is kind of a a right of something

28:15

of a country and it is it is kind of an

28:16

extreme demand to make as Iran has made

28:19

very extreme demands too of course the

28:22

UA feels today seeing the Saudi deal

28:24

when as you say they signed something in

28:26

2014.

28:27

>> Yeah.

28:27

>> Like there's a lot of dynamics that I

28:30

think is so broken in the region. So I

28:33

guess as investors we should just be

28:34

prepared that there's just going to be

28:36

more sovereign supply chain sovereign

28:38

link shocks right to your portfolio. So

28:40

like that's going to be the that's

28:41

probably like the new riskoff defensive

28:43

asset. It's not going to be hiding out

28:44

in consumer staples.

28:46

>> So where should you hide out? Sorry.

28:47

What do you mean?

28:48

>> Yeah. So I think you're going to I think

28:50

all the geopolitical

28:52

shifts just means that there's the

28:55

likelihood supply side shocks is so much

28:57

greater, right? just like it's going to

28:59

be a lot easier to have more supply side

29:00

shocks that affects obviously very

29:02

optimized supply chains that you just

29:04

have random things go up, right? And

29:06

these are generally going to be various

29:07

forms of resources of some kind, right?

29:09

You just you just keep shifting the

29:11

world's politics and

29:14

that's more likely where the shocks are.

29:16

So if if you live in a world where you

29:17

expect most of your shocks to be these

29:18

supply side shocks, then you know the

29:21

traditional definition of cyclical

29:23

defensive or what your portfolio buys

29:24

look like doesn't work, right? Because

29:26

traditionally you're like hey I hide out

29:27

in bond nominal bonds and I hide out in

29:30

names like staples right all these are

29:32

going to get hurt if you have like

29:34

stackflation

29:35

type of setup right um so I think that's

29:38

like a pretty meaningful regime shift in

29:41

in how how markets operate

29:43

>> yes but don't you feel like that you at

29:45

least in the United States there have

29:47

been fewer supply shocks that have

29:50

actually impacted markets maybe less

29:51

than we deserve like given what the US

29:53

has done in Iran I would have thought

29:55

that the the US economy would have been

29:58

impacted a lot more. But it does seem

30:00

like we are in you know separated by two

30:02

oceans and we have this immense uh

30:05

natural gas and and oil reserve in in

30:07

Texas. Like I don't know it it seems

30:09

like um the global oil markets are

30:11

functioning better without the straight

30:12

of hormuz than I would have thought and

30:14

everyone would have thought.

30:15

>> Yeah. I I think when back in March when

30:18

we did our scenario analysis on the

30:20

economies we thought for the US it's

30:22

like WTI would need to get to 120 to to

30:26

to be the tipping point for recession

30:28

>> and that happened for like a few days

30:30

but but not a long time

30:31

>> you would need to average essentially

30:32

average 120 for the rest of the year to

30:35

get you to recession or else the same

30:37

obviously that's a big assumption there

30:39

whereas for example in Europe it's

30:41

somewhere between like 110 to 120 Brent

30:44

if you average that it's like at the

30:46

tipping point, right? So, like there's

30:48

like different sensitivities to your

30:50

point because of these natural

30:51

advantages and you know and how much

30:53

redundancy there is, but yeah, we've

30:55

seen clearly a lot of reserves got

30:56

released. I think we all been surprised

30:58

by China's role. I don't know why China

31:01

would be willing to do that, but I think

31:03

it's probably pragmatic, right? You can

31:04

see China's like was managing their

31:06

refined runs, right? They stopped

31:07

exports refined products and now they're

31:09

just managing that. So, it's probably

31:11

not altruistic.

31:12

>> Yes. And I I think that China has a huge

31:16

stockpile of petroleum reserves and they

31:19

were willing to draw that down. So So

31:21

but I think that that we shouldn't let

31:24

that let that excuse be for complacency.

31:26

Like the yeah

31:27

>> we were saved by stockpiles going down

31:29

around the world particularly in China

31:30

but that's that number one that we can't

31:33

rely on that forever and number two it

31:35

has to be replaced. So like

31:36

theoretically the the oil straight up

31:38

from news could be solved tomorrow but

31:40

over the next two years we're in a

31:41

structurally bull market in oil because

31:43

China's buying back all the oil.

31:44

>> So the impress agree but I think the the

31:47

whole point of the supply the whole

31:49

point of the reserves that they're like

31:50

a oneoff supply buffer, right? Like I

31:53

don't think they I don't think it's

31:54

going to be such a strong bit to push up

31:55

prices. The whole point of like reserves

31:57

you just wait until prices are so bad

31:59

you step in you just get filled. Um, but

32:01

I think the China definitely is real

32:03

because I I remember for the last two or

32:05

three years people kept asking me, "Do

32:06

you think China was gonna try and make a

32:08

move on Taiwan?" Because people were

32:09

looking at China's oil. They were like,

32:11

"The economy is doing so badly. Why are

32:13

they buying so much oil?" Right? Like

32:15

like literally non-stop. And I guess now

32:16

we have

32:17

>> they're doing it for the tanks. They

32:18

need it for the planes. Yeah. Yeah.

32:19

>> Yeah. Yeah. Right. Like remember that?

32:20

Like non-stop talk. My man, look how bad

32:23

the the organic demand is. Why are they

32:25

buying so much? They're stockpiling so

32:26

much so much so much.

32:28

>> Yeah. It turns out like it's more

32:30

probably more it's uh to be resilient in

32:32

a in a world of just lots of shocks.

32:35

>> What do you think about the Chinese

32:36

economy and Chinese stocks particularly?

32:39

I think people keep making the same

32:41

mistake on China like I don't think

32:42

China's coming back in terms of consumer

32:44

right China remains a export oriented

32:47

they prior again the the overarching

32:49

lens is primacy of sovereignty it's an

32:52

existential competition between us and

32:54

China will be prioritizing

32:57

you know manufacturing technology all

32:59

the things industrial policy needs that

33:01

necessarily crowds out your household

33:03

sector because credit resources are

33:05

funneled towards the geopolitical

33:07

sovereign sovereign priorities Right. So

33:09

your household sector is by definition

33:11

crowded out. They just have to make sure

33:12

things don't get so bad for the

33:14

household that I think that's really

33:15

bad. They'll buffer it and put back

33:17

stock. The pol, you know, we had a poly

33:19

bro in July, nothing happened, right?

33:21

Like I just think, you know, you look I

33:23

look at these luxury good company like

33:26

like earnings results and it's like, oh,

33:27

you know, yeah, but maybe China's

33:29

coming. I'm like, I don't think it's

33:30

coming back.

33:30

>> Yeah. The the growth factor for LVMH and

33:33

all these luxury European brands was

33:35

China was growing at like 30%

33:36

year-over-year. Now it's flat to down,

33:39

contracting very bad. But within China,

33:42

the domestic consumption has always been

33:43

weak. So that's not new.

33:45

>> Yeah.

33:45

>> And it's because China's been executed

33:47

in the sovereign thing for like 10, 15

33:49

years, right? They prioritize industry

33:50

and tech that necessarily crowds out

33:52

your household sector. And so the

33:54

household sector generally is under more

33:56

pressures. So they can't consume as

33:57

much. And now house prices are down so

33:59

much like Yeah. I mean, it's basically

34:01

like we all know real estate value is

34:03

how people is people's wealth. If real

34:05

estate value is down so much, how are

34:07

you going to get people to feel 30%

34:09

richer overnight? You're going to have

34:10

to, let's say they revalue the R&B.

34:13

Suddenly we wake up tomorrow, dollar R&B

34:16

is at five at four, like crazy

34:19

appreciation overnight. Then sure, then

34:22

maybe the Chinese suddenly feel a lot

34:23

richer in dollar terms. They're going to

34:24

stop buying stuff globally and then we

34:27

can have a bit of a a a rebound. But

34:30

again, that that that's very very

34:31

unlikely, right? China doesn't do things

34:32

like that under the current regime,

34:34

right? There's no big shock policy. Um,

34:38

so yeah. Yeah, obviously could you have

34:41

like sectors that do well? Of course, if

34:42

the government's behind them like yeah,

34:45

you can get cycles. Like I say, we had

34:47

those LP exhaustions in June. So there's

34:49

always tactical trading opportunities. I

34:51

think Chinese tech, Chinese AI, Chinese

34:53

biotech, like certain things, China has

34:55

a lot of potential. Um but yeah, I think

34:59

if you want the narrative to shift on

35:02

China, you know, we've had this story,

35:03

oh, they're going to do fiscal, they're

35:05

going to do these, but fundamentally,

35:08

you can see China's focused on supply

35:09

side, it's focused on geopolitical

35:11

priorities, and it's going to be very

35:13

hard to see how we shift from that,

35:15

which means, you know, they're going to

35:17

have to just export, right? And you

35:18

export because you want to people to

35:20

stay employed, to have jobs, right? that

35:22

that that's just like the most

35:23

fundamental thing on and I don't think

35:25

that's going to change for the

35:26

foreseeable future. Like I say, if we

35:28

wait for one day to do a big reval, I'll

35:30

be buying Chinese equity consumer stuff

35:33

hand over fist. But um it's very hard to

35:37

see at the moment.

35:38

>> What about the key drivers for corporate

35:41

profitability? Mainly the big stocks,

35:43

Alibaba, 10 cent, you know, Muan, Pindu.

35:47

Basically, all these online retailers,

35:49

the Amazons of China, have been killing

35:51

each other because they've been

35:52

competing on price so much. And the

35:54

government keeps on saying

35:55

anti-involution, anti-involution.

35:58

We're going to encourage our companies

35:59

to actually stop, you know, fighting

36:01

each other like Japanese fighting fish

36:02

or Chinese fighting fish, but it never

36:05

really does seem to happen. Do you see

36:06

any policy changes there of like, oh,

36:08

actually, we need to get Alibaba's

36:10

profits up. We need to get 10 cents

36:11

profits up because we need to stop

36:13

having a financial crisis. or do or no?

36:16

Do you think you think this all talk?

36:19

>> I think they they're clearly doing I

36:21

think it's clearly something you should

36:22

do at the margin, but the fundamental

36:24

issue is do you have enough domestic

36:26

demand for all these things, right? And

36:29

fundamentally the issue is there's not

36:32

enough demand yet because you're worried

36:34

about employment. You don't want these

36:36

companies to truly shrink, right? the

36:38

way you will truly shrink. Yeah, if all

36:40

the companies start firing tons of

36:42

people and cutting costs, then yeah, you

36:44

you couldn't get a restoration. But the

36:46

government doesn't want that, right? And

36:47

that applies to every part of the

36:48

Chinese economy, I think. And I think

36:50

that's the real tension. So if your

36:53

priority is jobs,

36:55

it's very hard to solve the involution,

36:57

I think, because you need to cut actual

37:01

supply, right, to to to down to where

37:03

the demand is because you don't want to

37:05

do that. you have excess of supply

37:08

versus domestic demand has you export

37:09

and everything is by export.

37:12

>> So yeah, I think they can try things at

37:15

the margin but it's a bit like the Japan

37:16

all these things right there's like a

37:17

global macro balance and like you have

37:20

to solve the breaking point issue and I

37:22

think on China the critical breaking

37:24

point issue is the importance of

37:25

employment

37:27

which is a supply side issue in China.

37:30

>> What do you think of Chinese AI? So

37:33

that's the publicly traded AI model

37:35

companies which we actually don't have.

37:36

You know ours are publicly traded

37:37

really. That's the Chinese semiconductor

37:40

chain. That's the uh cloud providers

37:43

like Alibaba which you know also owns

37:45

Moonshot and owns whatever. Are these

37:47

are these investable? What do what do

37:48

you think?

37:50

>> I think it depends on who you are. If

37:51

you're like a western minority

37:53

shareholder like you know you have to

37:55

decide what your risks are. Uh right.

37:58

But yeah, but yeah, you look um you look

38:01

like the CXMT, right? The the memory

38:03

IPO.

38:04

>> Yeah, you're a local government. You're

38:06

like a you know, you know, SOE,

38:09

statebacked private equity fund, venture

38:11

fund. You you're making out great,

38:12

right? So I think it depends a little

38:14

bit on who you are and if you have

38:16

access I think um in terms of how

38:18

investable I would say in general for

38:20

western investor investors it's probably

38:23

not super obvious um that you you're

38:26

first in line to to get access um

38:30

clearly I think the impact is more

38:32

broader that is moving us away from the

38:37

kind of you know frontier labs right

38:38

closed model right that's clearly

38:40

helping to accelerate kind of price

38:42

compression

38:43

you know, essentially China's doing the

38:45

work to accelerate Japanese paradox to

38:47

ultimately get more people to use it.

38:49

But in terms of how that profit pool is

38:50

split

38:52

like you know chi China when China

38:54

enters the industry generally it

38:56

destroys the profit pool right that's

38:57

happened like and everything and I think

38:59

that's the that's a little bit of the

39:01

problem here. Um to

39:02

>> yeah totally I mean just like if you

39:04

look at Alibaba's AI cloud revenue it

39:07

actually is growing at triple digits but

39:09

it is so low compared to Google Amazon

39:12

or you know Microsoft what they're

39:13

charging open anthropic so it's just

39:15

like in China just things are just so

39:17

cheap and absolutely

39:20

>> price China is where profit's going to

39:22

die

39:22

>> yeah but it's but again you got to think

39:24

of is there's a sovereign balance sheet

39:26

right it's a national balance sheet and

39:28

then they want to make sure they win

39:30

Marisha and the rest of the So I think

39:32

what China is exceptional at is

39:33

obviously taking new things, adapting

39:36

them, right? Commercializing them and

39:39

then trying to win share. And I think

39:41

they're doing the same playbook here. So

39:43

they're going to China just way better

39:45

commercializing, gaining share and and

39:48

meeting customer needs at low cost,

39:50

right? They've done that in

39:51

manufacturing all these things. I think

39:52

that's what they're doing uh with

39:54

obviously the focus on open way, right?

39:56

make sure that people are locked in or

39:58

not locked in but essentially that

39:59

people are not locked into the US right

40:01

in a way if you view it for the

40:03

sovereign lens I think things make much

40:06

more sense. China does not want the rest

40:07

of the world to be locked into the US

40:09

especially closed weight. So as long as

40:11

China fully commits to open weight and

40:13

makes these breakthroughs the rest of

40:15

the world obviously will pick China and

40:17

in fact in the endgame is the US have to

40:19

catch up and also commit to open weight.

40:21

Maybe there's also the hope that

40:25

companies in Europe are going to use

40:26

anthropic and open AAI and pay more

40:29

because they don't trust China. And that

40:30

is kind of what happened in software,

40:31

you know, right? People use Microsoft

40:33

and I'm sure there's like a a

40:34

Singaporean version of Microsoft more

40:36

word that's cheaper, but people still

40:38

use Microsoft.

40:39

>> I think of it a few different ways. So,

40:40

I think we have to obviously guess what

40:42

the end state of of the market looks

40:43

like. I think essentially you're going

40:44

to have three tiers, right? Like the way

40:46

I would describe is you have a 150 IQ

40:49

mass market tier, right? That's like

40:51

open weight, cheapest, lowest, marginal

40:53

cost, everybody can have access, right?

40:55

Good for consumer. You probably have 150

40:58

to 200 IQ range. That's for like small

41:01

businesses like ours, right? Or for

41:02

business adoption, speed up lots of

41:04

processes, right? And and it's very good

41:06

at that. And then like the 200 IQ plus

41:08

is for governments, big business where

41:10

rest of us no chance of touching it,

41:12

right? And that's like the new growth

41:14

part. The enterprise part is what eats

41:16

the profit pool of horizontal SAS

41:18

whatever consulting or the middle layer

41:20

that eats the profit pool. The consumer

41:22

tier very hard to make money because

41:25

it'll be open and then the top is where

41:26

the money is made. But that's a much

41:28

smaller I think addressable market. So

41:29

that's in my mind how the end state

41:31

looks. So if that's the end state and

41:34

you work backwards like why do companies

41:36

like Microsoft D succeed? I think I

41:38

think it's more to your point the trust

41:40

is it's because they have the

41:42

complimentary assets because you trust

41:43

them with your data and and you know

41:46

their cloud right so yes there's going

41:48

to certainly be that for companies that

41:50

don't have great in-house tech talent

41:52

then clearly if I'm on the Google

41:53

Microsoft ecosystem I'll stick with them

41:55

if the price difference is not too big

41:57

but even then you can see that

41:59

everyone's building harnesses right so

42:00

you can be on Microsoft Microsoft can

42:02

plug you into whatever open source open

42:04

way model you want right so that that's

42:06

another shift that you you're not going

42:08

to be tied in, right? Like that's the

42:10

big shift as well. And also the the

42:12

another big trend is clearly on premise,

42:14

right? Where people are taking open way

42:16

deploying their own on premise, keeping

42:17

that data on premise, right? I would say

42:20

the biggest development over the last

42:21

couple of months is just the sheer push

42:23

back against US frontier labs from US

42:25

businesses, right? like you know I I

42:27

heard a story like the the hugging face

42:29

founder or someone was like protesting

42:31

open AI this weekend like right like I

42:34

think that that's a reflection of the

42:36

shift that I think people don't want to

42:39

just give all their data over to

42:40

Frontier Labs have to pay off for

42:41

everything that there's a clearly a

42:43

desire to optimize spend um so in terms

42:48

of what you said I do agree like if you

42:50

look at the hyperscalers they will

42:51

ultimately be okay right your apples

42:54

Microsoft Google's you have the

42:55

complimentary asset that you have the

42:56

customer trust. You can plug in and out

42:58

whatever model people want to use. Um,

43:02

but I that that doesn't mean the Chinese

43:05

models won't have a compressing effect

43:06

on on pricing that that profit point.

43:09

>> And Tien, how is that not a case that

43:13

this ultimately will be a bubble? You

43:15

know, like look, I've been bullish on

43:17

semiconductors. still am. But I'm just

43:19

just saying like ultimately that this

43:21

will end in a in a bubble that will

43:24

burst because literally I mean I heard

43:25

Sam Alman on on a podcast and he was

43:27

he's still talking about intelligence as

43:29

a commodity and how it's going to be

43:30

like a utility and I'm like dude you

43:33

cannot be talking about something that

43:36

costs trillions of dollars basically to

43:38

make as a commodity like you know uh

43:41

coned and all these um you know

43:44

utilities that they're granted a

43:46

monopoly by the government and they

43:47

spend a lot of money on capex but

43:49

nowhere near what you're spending. Like

43:50

I think that I don't know you the word

43:52

commodity maybe on the west coast people

43:54

don't think of that very negatively but

43:56

on the east coast all all these

43:58

investors in public markets like I don't

44:00

know he should he should stop saying

44:01

that word and but but but like if if it

44:05

really is a commodity then the ultimate

44:06

pricing power is not strong at all like

44:09

what is the moat and and and then you

44:13

know it's it's going to be it's going to

44:15

be a bubble that is not not defensible

44:18

basically I'm not saying that that's

44:19

going to tomorrow. In fact, I don't

44:20

think it will happen tomorrow. But like

44:22

how is that not where we end up?

44:23

>> Well, I I think that's where the tearing

44:25

matters, right? I think your 200 plus IQ

44:27

is not a commodity, right? The 150 200

44:29

is also not that obviously commodity.

44:32

Like that will need like deployments or

44:34

human AI loops to get it to work. But

44:37

yeah, like I think for the 150 IQ AI

44:41

that we all use day-to-day for

44:42

everything in our daily workflow, I

44:44

think that's the part that goes away. So

44:46

yeah that obviously affects the the

44:48

consumer application side right I think

44:50

that part's probably the most vulnerable

44:53

um but I mean again I think with all

44:55

these things is like the Charlie M

44:57

invert the problem right so I've been

44:58

you know we've been internally debating

44:59

this and challenging on like you invert

45:02

a problem what's like the opposite case

45:04

and I think the most compelling was my

45:05

my colleague Ben actually mentioned um

45:08

this idea of yeah if we suddenly need to

45:10

move on to modeling um like you know

45:13

doing world simulations right like

45:15

modeling real world of physics, right?

45:17

These are all things that matter for

45:18

robotics and real world interaction.

45:20

That's a heck of a lot more data you've

45:21

got to collect and process and use.

45:23

Suddenly you need a lot more training, a

45:25

lot more inference. That's potentially

45:26

one thing that can keep this going for a

45:29

while. Um, you know, if we get genuine

45:32

breakthrough on like reinforcement

45:34

learning, right? Like I think there's a

45:35

lot of debate because fundamentally the

45:37

one of the bottlenecks we've run out of

45:39

data. So, we're supposed to generate the

45:41

models need to generate their own data

45:43

to to start the self-improvement cycle,

45:46

right? Um, so far there's pretty limited

45:48

evidence of that, but that's possible

45:51

like you know if you suddenly because

45:53

that would obviously unblock the kind of

45:55

hardware software data loop to to start

45:57

again. So there are things that I think

46:00

again you'll need some kind of claw code

46:02

like in December 2021 moment when we

46:04

suddenly we'll wake up going oh wow this

46:06

was actually a breakthrough and then the

46:08

next act comes in but I think until then

46:10

it's probably more just dead money like

46:11

I said I don't think it's nec

46:14

right it's just yeah we don't have a

46:16

narrative that people can hold on to to

46:18

drive the the kind of yeah next leg

46:21

>> what is your recommended allocation

46:23

towards US versus foreign stocks and it

46:27

sounds like you're not in love with

46:28

China, the Chinese equity market. Like

46:29

what foreign markets do you like in

46:31

terms of equities?

46:32

>> No, we still like LATA, but I I feel

46:34

like I say that every time I come on

46:35

your show.

46:35

>> Yeah, it's true. True. [laughter]

46:37

>> But like Brazil has elections coming up

46:39

in October, so maybe like, you know,

46:40

there'll be some wobbles around that.

46:42

Yeah. So we like Latas

46:45

basically. I'm skeptical on the Europe.

46:47

I think Europe feels very contrarian,

46:49

but you know, it's exposed to energy

46:51

crisis, right? It's got a lot of

46:53

regulatory issues to deal with. like a a

46:56

good a good long-term client mine always

46:59

used to make this joke about um you know

47:01

you want to go to Europe on holiday but

47:02

you need to like go all your work done

47:04

the US um I think yeah until Europe

47:07

overcomes a lot of these regulatory

47:09

energy issues is going to be tough right

47:11

plus like the Chinese exports just

47:14

everywhere in Europe right you don't

47:15

have to travel very far to see Chinese

47:17

electric vehicles you know I think

47:19

potentially Chinese aircon I think is a

47:20

theme that might be coming to Europe so

47:23

I think that that's puts are pretty

47:25

limiting for for um European assets. So

47:30

yeah, I I we still generally like the

47:33

Americas still ultimately.

47:36

>> And what about India, Taiwan, Korea,

47:38

other you know,

47:40

>> so I think India sold off a lot um that

47:42

I know people are started looking.

47:45

personally pretty skeptical of India as

47:48

an allocation just because one valuation

47:50

is not obviously see cheap but

47:52

fundamentally again with that

47:53

sovereignty lens I think India is caught

47:56

between China and the US and it's going

47:58

to get hit with the stick by both

48:00

whereas latam is going to be the carrot

48:02

right so I think India's I don't think

48:04

the US wants to allow India's rise

48:06

because they they don't want to make the

48:08

same mistake they did with China so I

48:10

don't think the US is going to be very

48:11

supportive any India initiatives you

48:13

know India wants to do manufacturing I

48:14

don't US going to support any of that at

48:16

least the Trump administration has not

48:18

been equally obviously for China India

48:20

gaining a foothold in manufacturing any

48:22

of these things a direct threat right so

48:24

yes maybe China India has some

48:25

cooperation on doing like a bricks

48:27

currency things of the margin but I

48:29

think India's actually caught between

48:32

China and the US because it could be

48:34

enough of a threat if left alone and I

48:36

think that's going to be real limitation

48:38

sure there's obviously a lot of real

48:40

growth on the ground right maybe some of

48:41

the banks but I I just think that that's

48:44

that's a pretty big um headwind whereas

48:47

for Latin America like both China

48:50

doesn't want to give up the US needs to

48:51

dominate it and they're doing it with

48:53

with carrots

48:55

>> but Indian growth is so high and

48:56

corporate profitability is growing so

48:58

much like it's it's like China but it

49:00

has capitalism and companies are allowed

49:02

to make money.

49:03

>> Yeah. Like you know I think it certainly

49:05

sold off a lot. I'm just letting you

49:06

know that my overarching thing is I

49:09

really don't like India's geopolitical

49:10

setup right I think it's extremely

49:12

vulnerable there and also you know it

49:16

has one of the biggest weights for food

49:19

in terms of this inflation basket right

49:20

we obviously live in a world with El

49:22

Nino lot of disruption so that's going

49:24

to limit um the RBI's ability to to

49:28

loosen policy so I don't I don't think

49:29

the policy outlook looks particularly

49:31

good right rates and these things will

49:32

be held up um sure of course there's a

49:35

lot growth. Yeah. Like obviously if you

49:37

can get like some some exposure, it's

49:39

okay, right? I just think it's something

49:40

that I will put in the kind of Yeah, it

49:42

feels too hard and if there's truly

49:45

going to be money rotating away from

49:46

Korea, then I would pick China over

49:48

India, right? And then you've seen that

49:49

this month, right? Does the lag of money

49:51

truly go to India or is it just go to

49:53

China? Um, so it's like either AI keeps

49:57

going, the money stays and goes back

49:59

into Korea, Taiwan, but so far the

50:02

evidence of this month when money comes

50:04

out, it's going to uh China.

50:05

>> What about Japan?

50:07

>> Yeah. So I think there's some

50:08

interesting play. So like, you know,

50:10

companies like Nintendo and these I've

50:11

looked at a lot like so I've been

50:12

thinking about are there companies that

50:14

have been hurt by the memory AI

50:16

components but that irreplaceable

50:19

um have you irreplaceable assets and

50:22

modes, right? So like some of those are

50:24

kind of interesting but ideally I would

50:26

like the the Japanese government BOJ to

50:29

resolve their currency issue. So that

50:31

like today is obviously the first big

50:32

one, right? Like Japan's macro situation

50:35

is just so ridiculously untenable that

50:39

it's just a joke, right? Like Tokyo real

50:42

estate prices are growing double digits,

50:44

right? There just like inflation

50:45

everywhere. You know, Shanto wage rounds

50:47

like 5% plus three years in a row. Just

50:49

like ridiculous amounts of inflation

50:50

everywhere in Japan. And yet obviously

50:53

BOJ hasn't done anything. And yet Tak's

50:56

been going like full fiscal, right? So

50:58

no wonder your currency is weak. and yet

51:00

you're trying to intervene. So guess

51:02

what? That doesn't work. It's impossible

51:03

trinity. The only way that works is you

51:05

get your buddy, you know, uh Bess at the

51:08

Treasury and the Fed to come help you to

51:10

give you some credibility, right? And

51:12

that would be a plaza court type thing.

51:14

So I think there's a nonzero risk of

51:16

that happening. So I would like that

51:19

shock to happen and then I think Japan

51:22

the macro situation more resolve and

51:24

then it will be more interesting. So I'm

51:26

looking at his headline Japanese

51:28

inflation is still low like 1.7%.

51:33

But you're saying that on the ground

51:34

it's a lot higher.

51:35

>> Yeah.

51:36

>> Well like if you look they've been like

51:38

they have core core core right like you

51:40

you strip out food and energy and you

51:42

stripped out these institutional factors

51:43

and by the way there's like a we're at

51:45

the turning point for the base effects

51:47

from the yen depreciation. So all the

51:49

previous depreciation kicks in now as

51:51

well. So from here even mechanically

51:53

will go up but it's just more across the

51:54

board. The real inflation is what's on

51:57

the ground. Wages going up, real estate

51:59

price going up a lot, yet people are

52:00

struggling with cost of living, right?

52:03

And so the way you're supposed to

52:04

resolve all this is you need to get a

52:06

handle on FX, right? You need to stop

52:08

the depreciation. You're supposed to do

52:10

that because Japanese pension funds and

52:12

real money is supposed to repatriate and

52:13

buy back fund, right? And bring money

52:16

back home to buy JGBs, right? At some

52:18

point, JGB yields rise enough, you're

52:19

supposed to want to buy it. But these

52:21

guys, it's like a generation that's

52:24

seeing Japan depreciate

52:26

and turn around, right? You need

52:28

something major to shift them out of

52:29

their mindset. Otherwise, I don't think

52:31

it's that easy to just flip around,

52:32

right? Again, why would they turn

52:34

around? They be they can just keep

52:35

buying agency debt, right? Buy high

52:37

yield in the US, right? There's

52:39

alternative. So, it's going to take a

52:41

lot to flip that. Is US debt, US

52:43

Treasury yields, let's say the US

52:45

10-year yield, is that attractive to buy

52:47

to a Japanese investor now relative to

52:50

the Japanese tenure? If you take into

52:52

account hedging cost, isn't Japanese,

52:54

>> it's not. Yeah, it's not. Yeah, in

52:56

theory, well, that's that's the argument

52:58

all the macro guys been making for ages,

52:59

right? It's like, oh yeah, FX adjusted

53:01

JGBs give you like 200 basis points

53:03

over, so why wouldn't you repatriate?

53:05

But I'm just saying that the reality on

53:07

the ground is you can see the numbers,

53:09

right? They they report pension fund

53:11

buying and selling. Nobody wants to do

53:13

that because you can get extra spread

53:15

elsewhere. That's why I was saying you

53:16

can buy agency, you can buy credit, you

53:18

can invest in US credit funds, you

53:19

invest in US private credit, right? You

53:21

don't have to go to treasuries when you

53:23

do this.

53:23

>> Yeah. There's a reason that when Howard

53:25

Marx is interviewed, he's often in

53:26

Japan. He's raising money for

53:28

>> Yeah. But it's because the Japanese like

53:30

they have a generation of institutional

53:33

memory of like the yen only gets weaker

53:35

because our policy makers can't get a

53:36

hold on this. So like you need I think

53:38

you need to shock them out of that.

53:40

You've done the first shock, right?

53:42

You've broken the deflation mindset.

53:44

That's clear. The next piece is you need

53:46

to shock them out of the fact, okay,

53:47

we're going to have like real monetary

53:49

policy. I think if you do that, then it

53:51

suddenly I think it works. But again,

53:54

this is where the I think the ti fiscal

53:57

makes it really complicated, right?

53:58

Because interest expense is a big deal.

54:00

It's the same thing ultimately that I

54:02

think Walsh is tied to in the US. If you

54:04

hike and you issue a lot of debt, it's

54:07

going to mechanically force up interest

54:08

expenses and clearly that's limiting the

54:10

BOJ.

54:11

>> People say that a lot, Tang. When I

54:13

first entered the business in 2019,

54:15

people would say no one could ever raise

54:17

rates because there's so much debt. But,

54:19

you know, here we are six, seven years

54:21

later and rates are higher. And yes, the

54:24

overnight rate for Japan is only 1%.

54:26

But, you know, the 30-year yield is is

54:28

very, very high. and you know the the

54:30

sun still rises uh you know in in the

54:32

east like isn't like it's not impossible

54:36

for

54:37

uh for rates to go up with the amount of

54:40

high debt we have and theoretically you

54:42

should say it actually could be

54:43

justified because if there's more debt

54:45

there's a greater supply of debt.

54:47

>> Well, it's about avoiding the the

54:49

supposed doom loop, right? So obviously

54:50

if you can walk it up whilst you can

54:52

have economic fundamentals to justify it

54:54

so that ultimately like people still

54:56

want to buy your debt that's fine,

54:58

right? I think the concern is more do

55:01

you want to do it's the concern is more

55:02

like if you if you're looking to like

55:05

massively boost your fiscal and then you

55:08

hike into it and people are very focused

55:09

on interest expenses then basically like

55:12

you know your central bank has to step

55:14

in and buy up right so yes you can

55:16

technically hike but it's kind of

55:17

self-defeating because if you hike and

55:19

then you you then need to do QE

55:21

afterwards it kind of like defeats it

55:23

and I think that's more the point right

55:25

and obviously in the on the US case

55:27

specifically obviously they've trying to

55:29

reduce the duration of issuance, right?

55:30

So, obviously the more you carage the

55:31

front, the more sensitive you bet. So,

55:33

yeah, I I think ultimately I'm not a

55:35

bond I don't believe in the whole bond

55:37

vigilante. They're going to lose

55:38

control, right? Policy makers have lots

55:39

of things they can force onto the bond

55:42

market to control it, but you probably

55:45

don't want to get to that point of

55:46

genuinely explicit yoke of control, all

55:48

these things, right? You you don't

55:50

really want to get to that point. So, I

55:52

think that's more what what we're what

55:53

we're dealing with here. Do you say bond

55:55

bond vigilantes? The US 30-year yield is

55:57

now at the highest level since uh 2007

56:02

uh maybe 2006.

56:05

What do you think happens to long end

56:07

rates the treasury bond market? I think

56:09

until Japan resolves that issue

56:12

generally there'll be upward bias for ys

56:14

everywhere because Japan's kind of like

56:15

I think the lead indicator that they

56:16

have the most broken fiscal versus

56:18

monetary policy setup and flow setup. if

56:21

you get some signs that stabilizes that

56:23

will allow the rest um to to stabilize.

56:26

That's kind of more my mental model. So

56:28

I don't see as a massive issue on the US

56:32

or commentary on the US. It's more the

56:34

Japanese are letting their yields go and

56:36

yet they're trying to intervene FX

56:37

market. Most likely they have to sell US

56:40

assets if they truly intervening. So I

56:42

think it's more if Japan basically just

56:44

hikes rates a lot it will take the

56:45

pressure off and resolve it. Um

56:48

otherwise obviously the reason we're

56:50

talking today is because the market is

56:51

obviously trying to test Walsh right

56:53

because he didn't hike and he came

56:57

across probably a little bit smug on the

57:00

in the press conference right so I think

57:02

that might be why the market is pushing

57:04

a little bit um but ultimately I think

57:06

by time we get to September the data

57:09

will probably give him give him some

57:11

excuse not to do it right like I say US

57:13

housing US labor market US small

57:15

businesses the data is all fairly muted

57:17

and sideways. Um, so I don't think it's

57:20

that obvious he has to be forced to

57:22

hike.

57:23

>> The only thing that forces him to hike

57:25

would be him basically trashing the Fed

57:28

before for not hiking and he's always,

57:29

you know, said the Fed is too dovish.

57:31

The Fed is too dovish and now it's his

57:33

job and he's not hiking. It's like how

57:35

are you going to fight inflation if you

57:36

don't raise interest rates?

57:37

>> Obviously I know where the market is

57:38

pricing. Obviously a lot of a lot of the

57:40

the hish has been taken out right

57:41

overnight a little bit on the front end.

57:43

Um but the way I thought about it was I

57:46

think he's doing something extremely

57:48

important for basically the future of of

57:49

of markets in general which is you need

57:52

to reform the Fed full stop right the

57:55

basic concept is money markets have

57:58

stopped functioning as a signal because

58:00

money markets became just whatever the

58:02

Fed said and got priced so restoring the

58:05

functioning of money markets right

58:07

removing the excess reserve regime right

58:09

allowing the market to actually do its

58:11

job and provide a signal No, I think

58:14

that is so existentially important to

58:16

restore credibility to markets is way

58:18

more important than 25 bips or here or

58:20

there. So I think the nature of who he's

58:23

picked for these task forces and

58:25

ultimately I I view as him you know

58:27

obviously Basson they all work for Joel

58:28

dro's own record the complaint right

58:30

they've all expressed some concern with

58:32

the postJFC fiscal monetary policy mix

58:35

right so I think if they truly can work

58:37

together and resolve these longerterm

58:40

issues restore market functioning that's

58:42

way bigger a win than are you going to

58:44

do 25 bits here or there but that means

58:47

they need time right that's that's

58:48

that's where the political capital

58:50

should be spent rather than rather than

58:52

yeah hiking now hiking again in

58:55

September why would you do that to risk

58:57

pissing off the president ahead of the

58:58

midterm when you know he's not he

58:59

doesn't want you to hike rates so I

59:02

guess that's more the lens in which I

59:03

I've been looking at it which is why

59:05

I've generally been skeptical of of of

59:07

hikes but yeah we'll see right

59:08

>> what do you think of the metals

59:10

>> I think it's not clear what the catalyst

59:12

for gold to rally is I think gold's

59:13

found the floor is just going to be

59:14

sideways from here the gold miner

59:16

valuations look pretty reasonable but

59:18

we're going to need central banks to are

59:20

cutting right for gold to really take

59:23

off. So until we get there, it's

59:24

probably fine. I do think gold plays a

59:27

portfolio role as your stackflation in

59:29

terms of multiasset portfolio, right?

59:31

Like I still prefer having some gold

59:32

instead of nominal bonds. So you have

59:34

some tips, some gold as your offset

59:37

against your equity risk. I think that

59:38

makes sense. Um the rest of the metals,

59:40

yeah, I think we we I would say, you

59:42

know, bullish, right? Want exposure,

59:45

especially as I say in this there's

59:47

going to be more geopolitical shocks. So

59:49

having upside exposure will make a

59:52

difference.

59:53

>> Yeah, it is interesting. I'm just

59:54

looking like I think the gold

59:56

near close to the gold's top was when

59:59

Kevin Worsh was nominated by Trump. And

60:02

I you could say that's gold pricing in a

60:03

more hawkish Fed. But if the hawkishness

60:06

is basically fake and uh he's not going

60:09

to be that that uh that hawkish, maybe

60:13

that Yeah, maybe gold stops going down.

60:16

As you said,

60:16

>> I also think that's probably I just

60:18

think gold's moving January and February

60:19

is nothing to do with fundamentals at

60:21

all. It's just the end of a meme like

60:23

trading where every again everybody

60:25

every retail every you know like my

60:27

cousin like people's cous you know

60:28

sister day trading at home right people

60:30

got in and got out. I just think it's

60:32

similar to like I think the the semi

60:34

move in May and June and July, right?

60:36

People got in, got got long and got

60:39

levered and got destroyed on the way

60:41

down, right? The signal is probably like

60:43

where it was before like the end of Dece

60:51

4,000 seems okay, right? As a level.

60:53

>> Tell us about VPX, the your variant

60:56

perception cycleware US equity ETF.

60:58

Yeah. So, this is a longonongly

61:01

systematic strategy that's designed to

61:03

be an alternative to your S&P

61:05

allocation. So, we we created the

61:07

product because, you know, for our super

61:09

long-term money, we just want to be long

61:10

US equities, right? But looking at S&P,

61:13

we're a bit nervous about, you know,

61:15

this it's obviously 10 names are like

61:17

half the index. is obviously everything

61:18

is on AI and we wanted something a bit

61:21

more active that can rebalance and using

61:23

an ETF vehicle is very good because you

61:25

can do a lot of frequent rebalancing in

61:27

a tax efficient manner.

61:28

>> So we launched it in March. It utilizes

61:31

our macro capital cycle quality crowding

61:34

models and you know touch word but so

61:36

far I think performance has been very

61:37

very good in terms of upside capture to

61:40

downside capture. So this is more for

61:42

long-term if you have some S&P you're

61:44

nervous you can sell a bit of that that

61:45

replace it with this that that's the

61:47

short version but essentially it's just

61:48

large cap US equity allocation rotating

61:51

between sectors and picking stocks

61:52

>> and what's the process for picking those

61:54

stocks and sectors

61:55

>> so everything is systematic so this is

61:57

the combines every model we've built in

62:00

the history of VP that we've uh used out

62:02

of sample that you know has survived to

62:05

now so it starts off using basically our

62:08

capital cycle models to drive sector

62:10

tilts And then once you have the sector

62:11

tilts um you will then look at quality

62:14

and crowding uh to essentially pick the

62:17

stocks and then after that there's a

62:19

macro and LPPPL overlay to manage risks

62:22

around it. Um everything is combining to

62:24

essentially a forecast return. So the

62:26

difference between this and every other

62:27

quant strategy I'm aware of is we we

62:30

take all our factors but try and turn it

62:32

into a forecast return so that when we

62:34

rebalance we're trying to maximize

62:36

forecast return in the portfolio for the

62:38

given amount of risk we expect and I

62:40

think it's subtly different from just

62:42

ranking based on valuation like a value

62:44

factor or quality factor. Um, so yeah,

62:47

so I think obviously there's not been

62:50

that much track record since March, but

62:51

it's so far I think it's shown that

62:53

we've survived the kind of factor

62:55

meltdown that's really hurt Quan funds

62:56

this year very well, right? Um,

62:58

>> yeah, you've definitely drastically

63:00

outperformed the S&P since launch. So

63:02

congratulations to what what do you

63:03

attribute that in terms of more energy

63:06

exposure, less software exposure? What

63:08

would you say are the biggest drivers of

63:09

that outperformance just in terms of

63:10

kind of factor attribution?

63:12

>> So I think it's been more factor timing.

63:14

So we've had pretty big because the

63:16

market's been so volatile. There's been

63:18

very significant factor and sector

63:20

exposure. So we were like megalone

63:22

everything in tech in April and May. But

63:24

then at the end of May actually sold

63:25

down a lot of the tech right and put

63:27

into energy right. So that was basically

63:30

I would say sector wise the biggest

63:31

shift. But if you look at the factor

63:33

attribution we started off with a very

63:35

big growth even sector neutral pretty

63:38

big growth bias but then flipped to a

63:39

pretty big value bias from May as well.

63:41

So there's definitely an element of like

63:43

timing with the factors but I think the

63:45

reason you have factor timing is those

63:47

things are not stable anymore right and

63:49

like we're in environment there's

63:50

constantly going to be more shocks like

63:52

I think all you can do with your

63:53

portfolio is when there's v try and

63:55

rebalance to optimize for expected

63:56

returns so the attribution is almost

63:59

slightly misleading in a way because I

64:02

don't think factors are stable there's

64:03

basically there's a factor or not right

64:06

that's basically like almost the only

64:07

factor in the market

64:09

>> yes like the value people who are perma

64:11

bulls on value which I'm not hating on

64:13

at all but like they that the values

64:15

outperformed and the reason is is

64:17

because like Micron was 18%. You know so

64:20

>> yeah and the index rebalances and now

64:22

the you know the IWD or whatever is like

64:24

what Apple Microsoft right in index now.

64:27

Yeah.

64:28

>> Yeah. Wait what's IWD?

64:29

>> Oh the Russell 1000 value ETF. Yeah.

64:32

>> Oh okay. Okay. Gotcha.

64:34

>> I think it's it's like IWD IWF like

64:37

whichever way around like one's growth

64:38

one's value.

64:40

>> Yeah. So that's being a pretty So that's

64:41

pretty important to be aware of like

64:43

that was a very big Russell

64:44

reclassification

64:45

end of June I think. Yeah. So it's not

64:48

the traditional value you think it's got

64:50

a lot of mega cap tech in into value

64:53

now. So I think we prefer our value more

64:56

in the energy financials piece rather

64:58

than just outright in the tech space.

65:00

>> TM we will leave it there. People can

65:02

find you on X at variantperception.

65:05

Tell us about your website and where can

65:07

people find out more about the ETF and

65:08

stuff. Like I say, varant

65:09

perception.com. I, you know, we think of

65:11

ourselves as combining macro quant with

65:14

bottomup equities. Obviously, you know,

65:17

I've been I've been, you know, lucky

65:18

enough doing your show multiple times,

65:19

so hopefully the audience kind of knows,

65:21

but yeah, I think the ETF's our attempt

65:23

to try and show it's not just research

65:25

or writing, right? We're trying to prove

65:26

over time that we can generate um our

65:28

performance as well.

65:32

Thank you. Just close the door.

Interactive Summary

Tien Yang, co-founder and head of research at Variant Perception, discusses his macro outlook, emphasizing that while fundamentals remain broadly positive, specific sectors like semiconductors are experiencing a 'dead money' phase due to excessive speculation and a lack of new narrative. He highlights the role of his 'log periodic power law' (LPPL) model in identifying tactical exhaustion in markets and explains his firm's rotation towards value sectors like energy and financials. Yang also explores the impacts of sovereignty, supply chain shocks, and geopolitics, particularly regarding China, India, and Japan, while introducing the VPX ETF as a systematic strategy to navigate these complex market dynamics.

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