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Why Carson Block Says Ignore Fundamentals and Focus on Capital Flows

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Why Carson Block Says Ignore Fundamentals and Focus on Capital Flows

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1636 segments

0:00

I want to live in a world where

0:02

valuations and where price match actual

0:05

economic values and where you can go and

0:08

find those undiscovered gems and the

0:10

price eventually catches up with the

0:12

value of the business. But that's not

0:14

the world that we live in. So there's

0:15

been an adjustment basically say what

0:18

are investors excited about? What might

0:20

they be excited about next? Let's look

0:23

at the companies in that space. Stop

0:25

trying to go where nobody has been yet

0:28

because they're probably not going to

0:31

show up anytime soon either.

0:32

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

0:34

PITE AI enhance international equity ETF

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ticker PQNT. You'll hear more about

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their using AI to enhance international

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equity returns later in the show. For

0:43

now, let's get into it. Got a very

0:45

special interview today. I am joined by

0:47

Carson Block, founder of MuddyWaters

0:50

Capital. Muddywaters Capital is a

0:52

leading activist shorteller hedge fund

0:55

and they specialize in activist

0:57

shortselling. So selling short the

0:59

stocks alongside Deep Research. Carson,

1:02

great to see you. Welcome.

1:03

>> Yeah, thanks for having me back, Jack.

1:05

>> There was fertile ground for shortelling

1:07

in 2021 and 2022. And when I look back

1:11

at the excesses of that age, it was

1:15

electric vehicles, you know, promising

1:17

to be the next Tesla. It was green

1:19

energy.

1:21

When you look right now, whether it was

1:23

the past year or the next year, right

1:25

now, what where are you seeing promising

1:29

fishing? Not talking about names, but in

1:31

terms of sectors, industries, themes,

1:35

where where might the next frauds be,

1:37

the fads, the overpromising, the the

1:40

next pockets of excessive speculation?

1:42

What what is the fertile ground? the

1:45

tech sector obviously and the industries

1:49

within it. I mean, anything that can

1:51

really start claiming to be AI or AI

1:55

adjacent. And there are in many of those

1:58

many of those industries, you're going

1:59

to have the legitimate players, but

2:01

because so much money is flowing there,

2:04

you're you have a I'm sure a

2:06

proliferation in many of these

2:08

industries of pretenders. And so that's

2:13

where

2:14

you could look. Um, but you have to wait

2:17

till the time is right. And I'd say

2:20

since second half of last year, it's

2:23

been a very difficult time to try to

2:26

short anything like that that has strong

2:28

momentum.

2:29

>> Who are the AI pretenders? Are these

2:32

companies that are just promising a lot

2:34

and their revenues are flat, not

2:36

growing, and they're losing money, or

2:38

are they growing a lot? You just think

2:40

that they're attaching themselves to to

2:42

the theme and they're kind of, you know,

2:44

trying to trying to play second fiddle.

2:46

Well, the thing about AI, it's actually

2:49

pretty broad in terms of where the money

2:52

has flowed. So, it's beyond just the

2:55

companies that are directly in the AI

2:58

model production space. And you've seen

3:02

it spill over. Obviously, memory has

3:04

ripped and those are real companies.

3:07

Although, it's it's interesting with the

3:09

semis and uh with the semis, it's that's

3:12

actually generally not a great business

3:14

model. um it's so cyclical, it's so

3:18

capex intensive. So to just see, you

3:21

know, software do this and semis do

3:24

that, you know, go up into the right is

3:27

is odd, but I don't know that there are

3:31

pretender companies there. Um I would

3:34

think at some point there should be mean

3:36

reversion there because I just don't

3:38

think that you know the fact that we

3:40

have supply chain bottlenecks at this

3:43

moment in time really makes these

3:44

businesses that much more attractive

3:46

from a long-term perspective but um

3:50

you've had the spillover from AI

3:52

obviously power generation has been a

3:56

big beneficiary so there are these

3:59

spaces that are AI adjacent so the

4:01

breadth of the flows of money here is

4:05

it's it's pretty wide and so within that

4:08

within those spaces there are industries

4:10

where yeah the the companies that are

4:12

more recently to the game um are you

4:16

know number of those are probably

4:18

suspect and sure and we're going to see

4:21

IPOs um I'm sure from you know the

4:24

pretenders so you know usually the the

4:26

real leaders in a space they'll go

4:28

public and then you know the wannabes

4:31

are going to go public behind them and

4:33

so those those are in general the ones

4:36

uh that you should watch for. Now in

4:38

terms of revenue I mean it depends

4:40

exactly what we're talking about and you

4:42

know here I also consider things like

4:44

quantum computing to be adjacent. I mean

4:46

you've seen just some ridiculous price

4:48

movements in in those stocks as well. So

4:52

and they have I mean on revenue basis

4:54

you know some of them have revenue but

4:56

it's just like ridiculous valuation. So

4:59

um you know those those are and look

5:03

there are arguments that you know

5:04

substantially all of the quantum

5:07

computing stocks that are public are

5:08

pretenders or that quantum computing is

5:10

just nowhere near um being feasible. But

5:15

um you know I' I'd say the the problem

5:18

isn't finding the short targets. The

5:23

problem is going to be timing this

5:25

because again with momentum so strong

5:28

and these are these have all become

5:30

momentum stocks. I mean you get the

5:33

timing wrong you're just going to rip

5:34

your get have your face ripped off. So

5:37

yeah I I don't see that there's really

5:40

you know much to do at this moment in

5:42

time. I would much rather if I were

5:44

going to be playing this game I would

5:46

much rather go in and start shorting

5:48

these things when they're clearly on the

5:50

back end here. Um and they're and

5:53

they're sliding down. I mean, you know,

5:55

these things have many billions of

5:56

dollars of market cap in certain cases.

5:59

You know, is it is it like a bad idea to

6:02

wait till that's h haved? No, not

6:05

necessar not really because there's

6:07

still, you know, there's still probably

6:08

massive overvaluation

6:10

with these companies at that stage. So,

6:13

you know, I I think you're much better

6:15

off waiting until you're convinced that,

6:18

you know, there's just been this

6:20

crushing of demand for speculative

6:23

companies by likely an overupp of these

6:26

speculative companies. So, that's how

6:28

that's how 2021 worked out, right? you

6:31

had all of these spaxs and then dispack

6:34

transactions, you know, some reae plus,

6:37

you know, super dodgy IPOs, some

6:39

conventional IPOs, and just the supply

6:41

of speculative stocks overwhelms the uh

6:44

the demand for it. So, we'll get back to

6:47

that point in time. And once we're

6:49

there, then it makes sense. But until

6:51

then, I think you'd be playing a very,

6:53

very dangerous game to try to short some

6:55

of these names.

6:57

>> Even though you have an inkling that

6:59

they might be extremely overhyped, not

7:02

likely to generate profit anytime soon,

7:04

even though you you have a high con

7:06

conviction of those on the fundamentals,

7:08

you you're you're waiting it out.

7:10

>> Look, in the activist short world, there

7:12

was a big report the last week or the

7:15

week before on Carvana. I think they

7:17

brought a lot of new news to the table.

7:20

Uh it's by Gotham City Research and I

7:23

don't know the name well, but it was

7:25

initially a well-received report. I

7:28

think it's rebounded, you know, largely

7:30

or almost entirely from from the report

7:32

because momentum is so strong right now.

7:36

The things we're looking at don't have

7:39

don't really have those, you know,

7:42

aren't part of those baskets right now

7:44

that have had really strong momentum.

7:47

So, um, you know, I, you know, and I',

7:50

I'd say that that's really from an

7:52

activist short selling perspective, I

7:54

think that's the way you have to play it

7:55

for now. But, you know, last year, uh,

7:58

on the activist short side of the

8:00

business, I mean, we didn't publish on

8:02

any new names the second half of the

8:04

year because we just saw what was, you

8:06

know, what was happening. And we

8:07

published on two new names at the

8:10

beginning of the year, uh, or the first

8:12

half, FTI and Apploven. But um yeah,

8:17

then those things just absolutely ripped

8:19

the second half of the year. So it told

8:21

us that um it's just not the right time.

8:25

>> How do you eval the thesis that you had

8:26

when you published uh last year uh in

8:30

you know the spring of of 2025? How do

8:32

you evaluate your thesis and also who

8:36

are your you know potential

8:37

counterparties?

8:38

>> So it got added to the S&P 500 index. So

8:41

there was a lot of buying institutional

8:44

and I'm sure retail ahead of that which

8:46

created its own momentum. Then you got

8:48

the index fund buying once it was

8:50

included. Um and yeah I think and there

8:54

are institutions that play momentum and

8:57

look to be clear that's something that

8:59

we're doing at Muddy Waters. you know,

9:01

you you introduced us as an activist

9:04

shortelling uh firm, but while that is

9:07

our core business, I mean, we've really

9:09

diversified our business over the past

9:12

several years. And so, we have a

9:14

quantitative momentum strategy where we

9:17

go long 20 names in the S&P 500 index

9:20

and we rebalance monthly. And, you know,

9:22

last year on a gross basis, I think that

9:26

was up about 70% 70. I mean, it's just

9:30

it's just stupid, right? Um, but it, you

9:33

know, it's it's like it's fantastically

9:36

easy money compared to the rest of what,

9:38

you know, or compared to activist

9:39

shortselling. So, with Apploven, um,

9:42

look, you know, our our focus there was

9:45

on its, you know, purported, you know,

9:48

adtech AI, um, where they were cheating

9:51

and it's it's an easily there's no moat

9:54

there because it's pretty crude how they

9:57

were how they're doing this. They're

9:58

violating terms of service of, you know,

10:01

the major, you know, of of the major

10:03

platforms. They are, you know, and

10:05

they're violating probably n, you know,

10:07

numerous state laws and, you know, maybe

10:10

even federal law and also EU law. So, if

10:13

they're allowed to cheat, basically

10:15

anybody can do this and erode erode

10:17

their edge. But if you know, Facebook,

10:20

Google, etc. are serious about enforcing

10:22

their toos, then it should become a

10:25

problem. So, we weren't attacking the

10:27

core business, the gaming business. It

10:29

was the blue sky story. And look, since

10:32

we've published, there have been

10:34

numerous other short reports written on

10:36

it. You know, some of the same angle,

10:38

others different angles by various

10:41

firms. And I don't know, you know, I

10:44

guess maybe this is just me telling

10:45

myself what I want to hear, but I think

10:48

it's one of those things where 50

10:50

million Elvis fans can't be wrong. Like

10:52

there are so many of us who find that

10:53

this company is so messed up. Um

10:56

eventually those chickens come home to

10:58

roost. But in this super frothy market

11:01

where everybody is anestized to risk,

11:05

they're not coming home to roost just

11:07

now.

11:08

>> Carson, what causes cycles to reverse?

11:12

What causes bubbles to pop? Generally,

11:14

these hype cycles will will end when

11:18

there are just too many like speculative

11:22

shitty companies that come to market.

11:25

You know, that's how that's really my

11:27

view of how the internet bubble ended in

11:30

2001. It wasn't the Fed raising rates.

11:33

it was you had so many IPOs of so many

11:36

companies that you know effectively were

11:39

trying to you know soak up money from

11:41

the same you know the same theme the

11:43

same you know pool of money demand for

11:46

you know high beta fast growth blue sky

11:48

stories and so that's what happened in

11:51

21 as well so while there is a lot of

11:55

demand for speculative assets right now

11:58

eventually the supply will overreact and

12:01

it will crush the demand and so that'll

12:05

be and that's exactly when we'll be

12:08

interested in publishing on names that

12:10

are you know that had been in that space

12:11

and had been run up um on that over hype

12:15

on that huge hype cycle

12:17

>> and where do you think we are in that

12:19

cycle now in terms of the demand for

12:21

speculative assets which is high but

12:24

also the supply of speculative assets

12:26

that supply exploded in late 2020 and

12:29

early 2021 I mean Jim Chenos has this

12:32

stat about just the amount of millions

12:33

of dollars that were being raised in spa

12:35

capital and the amount that was needed

12:37

to fund that. It was totally

12:38

unsustainable.

12:40

My read is that there haven't been, you

12:44

know, a huge amount of IPOs or or spaxs

12:46

in last year. Do you think the flood is

12:48

coming this year?

12:49

>> I had expected more IPOs last year. Um,

12:53

you know, I think that the liberation

12:55

day, um, you know, tariff thing, I

12:59

suspect that really disrupted the plans

13:01

and created a lot of uncertainty. So,

13:04

um, yeah, I don't know what the IPO

13:06

calendar is looking like. So, I'm kind

13:08

of speaking a bit out of school, but

13:10

yes, I would expect 2026 to be a year in

13:13

which a lot of companies come to market.

13:15

I mean, you know, like this is it's in a

13:18

different class than what we're talking

13:21

about. But if you look at SpaceX

13:24

combining with XAI and the idea that the

13:28

like Elon wants to IPO the combined

13:31

company um before you know I think in

13:34

June or so um part of it driven by his

13:37

concern that you're going to have Open

13:39

AI and some of the other uh company

13:42

large language model companies come to

13:44

market with their own IPOs. I think that

13:46

speaks to this dynamic that um yeah, you

13:50

will have a significant increase in

13:52

supply and you know like I think I don't

13:56

think anybody's ever played the public

13:58

company game better than Elon Musk has

14:00

and so if he's concerned about you know

14:03

the potential over supply of AI etc

14:07

names relative to demand I think that's

14:10

telling I would think that by the second

14:13

half or by the second half of this here

14:16

we're going to see uh a situation in

14:18

which uh the demand is being overwhelmed

14:21

by supply of codes

14:24

>> and and maybe the number of IPOs and and

14:27

public listings doesn't compare to 2021

14:30

but in terms of the amount of capital

14:31

because like you only need one SpaceX or

14:33

one OpenAI to go public to match all of

14:35

the uh you know XL fleets of 2021 what

14:39

one of your famous

14:41

okay you think this ends because a

14:44

>> the supply of speculative assets exceeds

14:46

the demand. I noticed you didn't say

14:48

certain fundamental reasons like the

14:51

return on invested capital for these

14:53

companies with the hyperscalers is not

14:55

going to be

14:57

sufficient to their cost of capital

14:59

which is an interesting academic theory

15:01

but can you talk about how sometimes

15:03

theory isn't isn't what happens. So, as

15:05

you were as you were saying that the as

15:07

you were talking about the the return on

15:10

invested capital,

15:12

the phrase that went through my mind

15:14

real quick was who cares?

15:18

I don't think, you know, at this point I

15:20

don't think fundamentals are are

15:22

relevant to these, you know, to to

15:24

what's going on. But the the thing I'd

15:26

say I I get asked all the time, okay, is

15:29

is this like the internet bubble? you

15:31

know when you're looking at the

15:32

hyperscalers and AI and no because for

15:37

most of the hyperscalers they have the

15:40

cash flow to carry the debt that they're

15:42

raising. I mean these are tremendously

15:44

cash flow generative businesses um

15:46

underlying them. I mean whether it's

15:48

Microsoft meaning even Oracle which is

15:51

among you know which has got somewhat of

15:53

a higher leverage ratio.

15:56

I mean, they would be able to if they if

15:57

they decided, hey, these this money has

15:59

all been wasted and, you know, we're

16:01

going to exit this, you know, they they

16:04

could pay down that debt within a

16:06

reasonable period of time. I'm not

16:07

concerned about uh the creditworthiness

16:10

of Oracle. Coreweave is a different

16:12

story. But um but the thing that's

16:15

different here is that the the

16:17

hyperscalers, I mean, these are not

16:19

these are not for the most part

16:21

startups, you I mean open AI

16:24

you know it doesn't have that extremely

16:26

cash flow generative business but yeah

16:28

look at Google look at Oracle look at

16:31

Microsoft look at Facebook Amazon I mean

16:35

good god like you know making bad

16:39

investments is not going to implode in

16:42

into building data center capacity to

16:46

support buildout of large language

16:48

models or other AI models is not going

16:50

to implode these companies. I mean, yes,

16:53

you know, the stock prices very well

16:54

could take a hit. I'm not saying that

16:56

they're correction proof, but this is

16:58

not like the internet bubble where, you

17:01

know, my ass.com

17:03

had really, you know, no, you know, had

17:05

had no intrinsic value, you know, went

17:08

to a few billion dollars in, you know,

17:10

market cap and then collapsed. That's

17:12

not what's that's not what's happening

17:14

here. And even if these projects are a

17:17

machine of C cash incineration, they can

17:21

recover like Meta did in 2022. Not an

17:23

extinction level event by any means.

17:24

>> No. Coreweave potentially different

17:26

category. Um Open AI, you know,

17:30

potentially Open AI potentially

17:33

different, but the other the other

17:35

hyperscalers

17:37

uh no I I mean they're they have real

17:40

they have enormous hugely cash

17:42

generative core businesses. So this is

17:46

so they are going to they're going to be

17:49

okay. Yes, they could take a hit to the

17:52

equity prices or to the equity values at

17:54

some stage, but not extinction level

17:57

events.

17:58

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19:07

Now back to the show. Earlier when I

19:09

asked you about AI pretenders, you

19:11

talked about okay the semiconductors

19:13

there you they could be quite cyclical,

19:16

very capital intensive, but I think

19:17

there's a you know you said something

19:19

moderately positive about them. But you

19:21

said the the players that are trying to

19:23

latch on to trade. Maybe you mentioned

19:24

power like uh would is is sort of your

19:28

questions about some of these companies

19:30

would they be would they be located in

19:33

the data center but outside of of the

19:35

chip?

19:35

>> It's funny because um for the Robin Hood

19:38

philanthropy last year uh I participated

19:42

I'm participating again this year but in

19:45

it goes from October to the end of April

19:47

beginning of October. So you pick one

19:49

stock to be long, one stock to be short.

19:52

And I picked Olo as my long. I don't

19:55

know the company well, but I have no I

19:57

have no basis to to believe that in any

20:00

realistic time frame, it's small modular

20:03

reactors are going to be a real business

20:05

or that those designs are going to be a

20:06

real business. And did very well for

20:09

most of the contest. April there was

20:11

that that correction of the momentum

20:14

names and then the contest ended. Then

20:15

they started ripping again in May. So um

20:19

so Alo's Alo is a great example you know

20:21

like whoa data centers need power and

20:23

now you know anybody who claims to have

20:25

a small module or reactor design like

20:27

even though you know that's you know

20:29

many many many years off at best in most

20:32

their cases like it's never going to

20:34

happen um you know those companies

20:37

ripped and have real value. So that's an

20:39

example of the spillover effects. But um

20:43

even though there were a lot of people

20:45

who were skeptical of Alo, yeah, it

20:48

would have been a really bad idea to

20:50

short it and that's why I picked it as

20:52

my long, you know, there was no real

20:54

money underlying that uh bet. But um you

20:58

know just in the cycle in which we're in

21:00

right now hyped driven cycle you know

21:04

speculative excess right now excess

21:06

demand relative you know excess

21:08

speculative demand relative to the

21:10

supply of speculative assets these

21:12

things go up.

21:13

>> So Aqua was your long which performed

21:15

well what was your short

21:16

>> Griffles. So that was a a Gotham City uh

21:20

short that they'd already published that

21:22

did reasonably well for me as the short,

21:24

but I mean it's the long that's going to

21:26

make you in that contest. So for a while

21:28

I was number two uh behind Bill Aman. So

21:32

it's ahead of um like Stan Ducken Miller

21:35

and Chase Coleman. I'm like who are

21:37

these guys?

21:40

>> Nice. Last year you shocked the

21:43

investment world when you came out with

21:45

a long idea. Is this the first time that

21:48

you publicly did it? And what motivated

21:50

you to to make this call on Snowline

21:52

Gold?

21:53

>> As I said, we've diversified our

21:55

business at at Muddy Water. So, I think

21:57

it would help to explain what we're

21:59

doing. Um, so we're looking for we're

22:04

looking to plug people in to our firm.

22:08

You could say it's kind of like a

22:10

multistrat model. Um, but we're not

22:13

doing this through one large fund. and

22:16

you know we're not trying to you know

22:18

get kind of middling returns for nova.

22:21

So we're we're bringing in people who

22:23

are very talented who have edge in areas

22:26

where edge can persist. And so we've

22:30

we've been in resources. Um we started

22:33

collaborating with somebody back in 2017

22:36

who was at another fund. Um his name is

22:39

Darren Mlan. And when I say

22:41

collaborating,

22:42

he was the one who um brought our attent

22:45

gave or caused us to pay attention to

22:48

this one company called Asenko Gold that

22:50

we ended up shorting very preiently,

22:52

very successfully. Then he got us into

22:55

GT Gold as a long which was acquired by

22:58

Pneumont. So like you know I think five

23:01

bagger for us relative to our first

23:03

money. Um then he got us into a company

23:05

called Mayfair Gold where we ended up

23:08

running alongside activist campaign and

23:10

I'm on the board of Mayfair Gold

23:12

presently. It just um uh got a US line

23:15

as well. The ticker is mine m i ne.

23:19

Um although little sidebar there, I

23:22

guess that used to be the uh the ticker

23:24

of a really uh dodgy psilocybin uh

23:27

blowup. So um on the first day I was

23:30

trading in the US, it looked like

23:31

somebody came in and probably market

23:33

maker, I guess, uh and shorted a bunch

23:35

of uh mine stock probably thinking was

23:37

silvers psilocybin company. But anyway,

23:40

um and then uh also we were long file

23:43

gold which is a larger deposit was

23:46

acquired by the Lundine family. So

23:48

Darren's very very talented and he left

23:51

his former firm and came off technically

23:55

he's a consultant to us but so we

23:57

launched a we launched a resource you

24:00

know mining fund in 2024 and Darren is

24:04

the chief research provider to us for

24:07

that fund. So that fund you know is I

24:10

mean done well and um anyway one of its

24:14

core holdings is Snowline Gold. So I

24:17

spoke at the Iris Owen conference in

24:19

London this past November and I spoken

24:22

there I think that was my fourth year in

24:24

a row speaking there and I previously

24:26

spoken there for a few years in a row uh

24:28

before taking a little break and I

24:30

decided to pitch snowline as a long and

24:33

it's one where there's a lot of

24:35

asymmetry to it even if the price of the

24:37

underlying declines significantly we

24:39

think snowline gets taken out um at 2x

24:43

plus where it currently trades.

24:46

And what is it that's so special about

24:49

the deposit uh that that snow line has?

24:54

>> So it's located in the Yukon in Canada.

24:58

Um now the Canada is a first world

25:01

jurisdiction. There's a strong rule of

25:03

law and you know not in immediate

25:06

vicinity of the deposit but not that far

25:08

away you have highways and

25:11

infrastructure. Now, the knock on Snow

25:13

Line had been that, well, it's it's kind

25:16

of remote and therefore uh it's too

25:19

expensive to develop, but the with Snow

25:23

Line, you've got a lot of near surface

25:25

mineralization. It's going to be an open

25:28

pit mine, you're going they're going to

25:30

be able to cash flow significantly at

25:33

the beginning. So, that really um that

25:36

really impacts positively the NPV. So,

25:38

we believe Snowline will support this

25:41

becoming a mining district so that the

25:44

that the investment that goes into

25:46

Snowline or that it's economic to make

25:49

this investment in into Snowline to

25:51

create the additional infrastructure

25:53

needed and that it will then unlock a

25:56

lot of the value in that in that

25:58

district. right now it's the we think

26:01

the most compelling significant uh green

26:05

field deposit that a major can make uh

26:07

in the world I mean in gold. So we don't

26:11

think it sits around that much longer

26:13

especially if you know with the price of

26:15

gold you know anywhere close to where it

26:17

is right now.

26:19

>> Yeah. An all-in sustaining cost of $569

26:24

an ounce for gold. That's uh that is

26:27

pretty cheap. And so the the minerals

26:29

that are going to be taken out in that

26:31

initial phase, is that just gold or is

26:32

there also like copper and silver and

26:34

other other stuff?

26:35

>> It's principally gold.

26:36

>> It's not planning on producing until

26:38

like 2029 or 2030. So it does have a

26:40

process. The the thesis is not that

26:42

they're going to produce so much gold,

26:44

you know, quickly. It's that it's going

26:45

to be acquired by a major,

26:46

>> right? And yeah, and ma majors have the

26:49

capital. They have the patience to

26:50

develop these. But you know the thing is

26:52

the majors since the GFC have spent very

26:56

very little on green field exploration.

26:59

Substantially all of their budgets have

27:01

been brownfield and the

27:04

>> explain that difference Carson.

27:06

>> Yeah. So brownfield is a property that's

27:09

already been mined. I mean quite you

27:11

know many cases a major has already been

27:13

mining it and they're exploring adjacent

27:16

areas to see if they can if there are

27:18

other deposits there that are economic

27:21

to exploit. So if there are you know

27:24

because they already have infrastructure

27:26

in place the you know the economics the

27:29

the grade of the of the mineral the

27:31

grade of the gold could be lower and

27:32

it's still economic for them. So that's

27:34

what brownfield exploration is. But

27:37

generally speaking, you're not going to

27:40

you're not going to have major

27:41

additional discovery

27:44

um you know that moves the needle from

27:46

Brownfield. And the reason that the

27:48

majors are stuck in that pattern is that

27:52

coming out of the GFC, they had to

27:54

repair their balance sheets and so they

27:56

had to cash flow and that's when they

27:59

slashed their exploration budgets and

28:02

then their shareholders got kind of

28:04

addicted to the the dividends and don't

28:07

give them a lot of latitude uh to you

28:09

know to explore green field projects.

28:12

they have to acquire them because the

28:14

thing is I mean these they're depleting

28:17

their existing resources right like

28:19

there's no terminal value of of these

28:22

resources so as they deplete them it

28:26

becomes more and more urgent to acquire

28:29

and the other thing is when you have a

28:32

relatively small number of you know

28:34

majors in a space

28:37

I mean at some point they're going to

28:39

have to look around and say you know,

28:41

we're going to look really bad. Um, or

28:44

you know, I as the CEO, I'm going to

28:45

look really bad if I, you know, if I

28:48

don't get out there and aggressively

28:50

start to acquire because my competition

28:52

is doing that. So, we think it's just a

28:55

matter of time before you really see

28:57

that the the transaction velocity of

29:00

transactions pick up and and we think

29:03

Snow Line gets acquired. um you know I

29:06

mean certainly by that stage

29:08

>> what are the green flags that you see in

29:10

the snow line as opposed to the red

29:12

flags that you saw in the precious metal

29:16

companies that you shorted

29:17

>> the idea that you have to commit fraud

29:20

in the mining space is let's see not

29:24

entirely accurate because if you just

29:27

change assumptions right based on your

29:29

based on your test drill and the

29:31

intercepts you just change the

29:32

assumptions oh in good faith faith. Um,

29:35

you can have a block model produced that

29:38

shows uh, you know, a significant amount

29:40

of mineralization at, you know, whatever

29:43

grade you need to you need to show. And

29:47

that's where Darren is really good at

29:49

going into the block models,

29:51

understanding the assumptions, and

29:53

picking them apart and, you know,

29:55

saying, "Yeah, no, no, this this is this

29:58

is not valid." Like, this is not this is

30:00

much less economic. In the case with

30:02

Snow Line, because there's so much

30:04

mineralization so close to the surface,

30:07

it's not a question of, you know, can

30:10

you trust the block models? I mean,

30:12

Darren's actually been to the property

30:13

and he can see like literally see gold

30:16

on the surface, uh, you know, on, you

30:19

know, of the land. So that's that's what

30:22

makes snow line so so unique is that

30:26

it's that you have so much at or near

30:29

surface mineralization. Um so from

30:32

Darren's perspective it's not you know

30:35

we're not worried that the assumptions

30:38

that have gone into the block model are

30:40

aggressive. You know again the knock is

30:42

the infrastructure. Um now there are

30:45

other mining properties you know not for

30:47

not for gold um that are not far away

30:50

and you know in our view again is that

30:53

the the capex needed to develop these

30:57

projects is more than justified by their

31:00

economics.

31:01

>> Is your uh minerals materials fund is

31:05

that long only or is it long short?

31:07

>> It's long short. We run it net long. Um

31:10

but uh but yeah there are you know there

31:12

are some names where you know when we

31:14

short something generally it's going to

31:17

be it's going to be a producing minor.

31:19

The idea of shorting a minor that's not

31:22

in production can be very dangerous

31:24

because you know they can continue to

31:26

hype and you know and and mislead um for

31:30

years. But once they're in production

31:34

and we feel they're going to be unable

31:35

to meet the expectations that they've

31:38

set for the market uh or they've set for

31:40

themselves in the market, that's what

31:42

you would short.

31:43

>> Can you just share your overall broad

31:45

thesis of mining zoomed out?

31:47

>> The reason that we were drawn to mining,

31:50

we have had no view on the underlying

31:53

metals, but there's tremendous edge

31:56

available there. So number one in junior

31:59

mining you can get venture capital type

32:02

returns but you have much more data upon

32:04

which to base your decisions than you do

32:07

with venture. Now the other thing is

32:11

that there's been a significant

32:13

underallocation of human capital human

32:16

and financial capital to mining since

32:19

you know 2000ish.

32:21

your smart university graduates, you

32:24

know, have gone into tech, have gone

32:25

into finance, they have not gone into

32:28

mining and even on the capital

32:30

allocation side. So the, you know, we've

32:33

seen a lot of people in the space or,

32:36

you know, I know Darren especially has

32:38

seen a lot of people in the space who

32:40

they have good deposits, but they're

32:43

just bad operators. They're not good

32:45

business people. Um and you know that

32:50

when when you when the bar is low

32:52

basically in terms of the people against

32:54

whom you're competing and this isn't to

32:55

say that everybody in you know mining is

32:58

is not right. That's far from the truth.

33:00

But when you consider you know how much

33:03

talent you know you're you're competing

33:05

against if you're doing if you're

33:07

investing in software um there's so much

33:11

more edge available in mining especially

33:13

junior mining. So that's been our macro

33:16

thesis. It's really been about an

33:18

underallocation of human capital and the

33:22

complexity of going through the data,

33:24

but again the rewards for those who do

33:27

who do the work and know how to

33:29

interpret the data.

33:30

>> How do you differentiate sort of the

33:33

precious metals beta versus the alpha in

33:37

stock selection on the long and the

33:39

short side? So I I imagine that you know

33:42

almost every precious metals fund um has

33:47

has had a a positive performance you

33:49

know S&P beating performance and you

33:51

know that's that gold and silver going

33:53

up uh so much has has helped them

33:55

immensely. How do you think about the

33:59

value ad throughout a different cycle?

34:02

Are you trying to outperform the most

34:04

when the metal goes up or you trying to

34:06

outperform uh the most when the when the

34:09

metal goes down?

34:10

>> So, we don't think about it that way.

34:11

We're very long-term focused here. So,

34:15

um our fund has a three-year hard lock.

34:18

So, we're basically telling investors,

34:20

look, it's going to be volatile. It's

34:22

going we're going to make highly, you

34:24

know, a lot of the positions will be

34:25

highly concentrated. You could see

34:28

because we own I think 16% of Mayfair

34:30

gold. Now we own it across a few funds

34:33

but that's obviously a highly

34:35

concentrated position for us in the

34:37

resource fund. Um so you know we're I

34:41

mean when we when we go along I mean

34:43

we're generally especially for something

34:45

concentrated I mean we're generally

34:47

looking at something that you know we

34:48

believe can be a multi-bagger and you

34:51

know that's even using conservative

34:53

assumptions on the metal price and we're

34:55

not you know we don't we don't do only

34:59

gold and silver um you know also you

35:02

know we've done we've done decent amount

35:03

of copper I mean GT Gold despite the

35:06

name uh was really a copper producer or

35:09

a copper miner wasn't producing. It's

35:11

not a short-term project for us. Now,

35:14

you know, we ran last year on a delta

35:16

adjusted basis. And I say delta adjusted

35:19

because we did a decent amount of

35:21

hedging using derivatives, but we ran

35:24

only I'd say 50 60 uh net long on

35:28

average throughout the year. Um, and you

35:31

know, uh, I mean, we're, you know, the I

35:34

mean, like I I think legally I can

35:37

discuss the returns, but I don't want to

35:39

be too specific because I don't want us

35:41

like having to do it every month. But, I

35:43

mean, on a net basis, we returned to

35:45

investors like a little over 100% last

35:47

year. Again, on a delta adjusted basis

35:50

running, you know, 50 60 net long

35:52

throughout the year. you know, beta

35:55

certainly helped, but you know, there

35:57

was there was alpha too there.

36:00

>> What's most interesting to you and to

36:02

Darren right now?

36:03

>> We have been spending most of our time

36:04

recently in the gold space, but I think

36:07

that's just, you know, that's because

36:09

you've had such a large move in the

36:10

metals. So things that were, you know,

36:13

that were not economic before are

36:16

economic. Um, and you're seeing more

36:18

financing, seeing just more activity

36:21

among, you know, issuers in the space.

36:23

So there's there's more to look at

36:25

there. But um you know look if you if

36:28

you think long term um you know and that

36:31

we're going to increase the

36:33

electrification of our economy um or you

36:36

know the many you know the developed

36:38

economies are going to do that you

36:40

obviously that's going to require a lot

36:41

of copper and a lot of other base metals

36:44

to be pulled from the ground. So you

36:46

know we're you know you know we're

36:48

agnostic um in in that regard. You

36:51

mentioned when I asked you about red

36:53

flags, you you talked about how people

36:56

could just change assumptions ever so

36:58

slightly and that leads to uh financial

37:00

implications that could look very good

37:02

on an investor presentation. When it

37:04

comes to other forms of red flags about

37:06

communicating with investors and

37:08

presentations, you're you're a tried and

37:10

trueue veteran of seeing this in you the

37:13

non-mining space. What are some of those

37:15

things? I mean, one thing that comes to

37:17

to to mind for me kind of drives me

37:19

crazy, and maybe I'm wrong about this,

37:21

but it's just uh commodity intensive,

37:23

it's not commodity businesses that

37:26

require tons of investment like oil and

37:27

gas or mining that quote free cash flow

37:30

multiples when investment is extremely

37:33

important to the business. So, it's

37:35

completely misleading. I I don't know

37:36

maybe you disagree with that with me on

37:38

that but but what else is something that

37:40

it if you see it it's just kind of like

37:42

an aha moment like hm this is likely not

37:45

going to be something that I want to

37:46

participate on the long side in the same

37:48

way you know if in 2021 you saw an

37:50

investor deck of a spa company and

37:52

within the first four slides it had the

37:54

word TAM total addressable market you

37:56

knew that it was not going to be you

37:58

know it was a prime target on the short

37:59

side and

38:00

>> the thing that we see is that there are

38:02

these junior miners out there that are

38:05

pushing these these timelines to get

38:08

approval and get into production that we

38:10

just think are way too aggressive. Like

38:12

it's it's like yeah okay even if even if

38:15

we say that okay your resource is

38:17

everything that you know you say it is

38:19

more or less which there is a lot of

38:21

exaggeration not fraud but just a lot of

38:24

bad assumptions that lead to

38:26

exaggerations but even if you put that

38:28

to the side the there are companies out

38:31

there that are making these you know

38:33

making these pronouncements these

38:34

predictions about how quickly they can

38:37

get into production where you know we're

38:40

like no way like that's just No, no,

38:42

you're years off the mark based on where

38:45

you are. So, that's something that is

38:48

jumping out to us early on. Now, there's

38:50

nothing for us to do with that because

38:52

again, I go back to how we generally as

38:55

a rule are not going to short a

38:57

non-producing minor. Um, and you know,

39:00

we're not going to go long that. So,

39:02

that's that goes in the pile of nothing

39:06

to do unfortunately. So when you look at

39:08

geopolitics,

39:11

what are the thoughts you're having,

39:14

what is the work you're doing in

39:15

Southeast Asia?

39:16

>> Well, I guess taking a step back. So

39:18

yes, we're in Cold War 2.0. We've been

39:20

in that for a while. You've got China on

39:23

one end or you know, China Russia on one

39:25

end, although Russia is from an economic

39:28

perspective obviously much less

39:29

important than China than the US on the

39:32

other end. And the countries that I

39:36

think are best positioned from a

39:38

geopolitical standpoint are the ones

39:39

that are generally have been non-aligned

39:43

um and are in the middle and can play

39:46

the US and China off one another. So

39:48

that's been like Vietnam and also India

39:52

is is a similar country. So um I mean

39:55

and we're also talking about countries

39:57

that have their own you know I mean have

39:59

something more than just you know we're

40:01

not leaning too much one way or another

40:03

um that they're you know that their

40:05

economic you know value add in their

40:07

economies. So those are two countries

40:10

that we're excited about um from a from

40:13

a long-term perspective.

40:15

>> I haven't seen a ton of short reports

40:17

from you about China. Do you think that

40:19

they have improved in terms of their

40:22

reporting quality or is there some other

40:25

reason that you have not shorted that

40:28

many Chinese companies? I mean I think

40:29

in 2021 or 2022 you shorted a Chinese

40:32

real estate company but um yeah what you

40:35

know where's are there is there luck and

40:37

for luck and coffee forests are there

40:39

still those lurking in China? Look, you

40:41

have to also differentiate between a

40:43

Luckan and a Signo force, right? Like

40:44

Luckin had a real business,

40:48

strangely enough. Like it's, you know, I

40:51

think it's, you know, I think it's

40:53

actually, if it hasn't already relisted

40:55

on a US exchange, it's about to. Um,

40:58

but, um, Soph didn't have a real

41:01

business. Um, how many major market cap

41:04

companies from China are there trading

41:06

in the US or Hong Kong that uh don't

41:10

have real businesses? I don't know. I

41:12

mean, it's, you know, they generally the

41:16

businesses have been realish from what I

41:18

can tell. Now, are the financials

41:20

honest? No. I I mean I I'm said for

41:24

years that I think you should assume

41:26

that some portion of a China based

41:28

company's public China based company's

41:31

financials are fraudulent and if you

41:34

want to be kind about it it's hey

41:36

they're competing for capital against

41:38

guys who are cheating so you know if you

41:40

know cheat or die basically cheat or

41:43

don't get the capital

41:44

>> percentage of Chinese listed companies

41:45

would you say have fraudulent

41:49

parts of their financials

41:51

I'm going to exclude mainland China

41:53

listed companies because the you know

41:56

there's there's an asymmetry of uh you

41:59

know ripping off foreign investors. I

42:01

mean especially you know American

42:03

investors um where you never get in

42:05

trouble in China for doing that right

42:07

like literally you do not there's only

42:09

been one person who was ever materially

42:12

punished um for listing a company in the

42:16

US that was based in China that was a

42:18

total fraud. That guy's name was Dixon

42:20

Lee and he did prison time in the US

42:23

because he's Taiwanese.

42:25

So the Chinese dudes, they rode off into

42:30

the sunset. Um, and you know, laughing,

42:33

I'm sure. So, China is not ever going to

42:36

cooperate. So, you know, the heads I

42:38

win, tales I don't lose dynamic. I mean,

42:40

it's just, you know, as it like Charlie

42:42

Mer used to say, show me the incentive,

42:44

I'll show you the outcome. like what do

42:46

you think the outcome of that's going to

42:47

be if you don't if you have nothing to

42:49

lose and everything to gain by

42:51

attempting to defraud American

42:53

investors. Now Hong Kong it's a little

42:56

different. You know Hong Kong in theory

42:58

you know now that it's I mean it's part

43:00

of China and it's become more

43:02

mainlandified by you know significant

43:04

factor since 2019. In theory, defrauding

43:09

uh investors through the Hong Kong

43:11

exchange could lead to significant

43:13

adverse consequences in mainland China.

43:16

But I just feel like the Hong Kong

43:18

market is such a cess pit with so many

43:21

frauds and scams. I mean it it's it's

43:24

funny like every now and then if you

43:25

look you know in Hong Kong and pay some

43:27

attention you'll see some stock go up

43:29

you know really short order go up like

43:31

five 10 times you know get that market

43:35

cap north of a billion where the you

43:37

know stupid foreign index funds have to

43:39

come in and buy because it's been added

43:41

to the index and then it just you know

43:43

one day like the chairman will stop

43:45

manipulating the stock and it gets

43:48

halted down like 87%

43:51

within minutes, right? Like you just

43:53

find these stocks that fall out of the

43:56

sky all the time in Hong Kong. Like this

43:58

is not a real market with, you know, I

44:02

mean with, you know, by by the standards

44:04

of like western market. So um you know

44:07

so yeah I so I think that Hong Kong even

44:12

though in theory it's not as

44:14

asymmetrical from a riskreward

44:16

perspective for fraud you know for

44:18

fraudsters and scammers there's just so

44:21

much safety and numbers there that you

44:23

know a lot of guys get away with it and

44:26

almost everything you should assume you

44:29

know has got at least a little bit of a

44:31

problem there and then of course you've

44:33

had here in the US like the the Chinese

44:35

micro for cap scams, the pump and dumps

44:37

here, which I don't know, man. I mean,

44:40

if you're falling for that today, like I

44:42

don't know. Don't tell me that you got

44:44

fooled, right? Like, you knew it was a

44:46

pump and dump. You just hope that you

44:48

were early enough that, you know, you

44:49

wouldn't be left holding the bag, you

44:51

know? It's kind of Yeah, it's it's like

44:56

I can't, you know, should they be

44:57

allowed to do that in America? Of course

44:59

not. You know, are our exchanges such

45:03

you know, to allow it? Yes, of

45:05

course they are. What else is new? They

45:07

are complete and so are all the

45:09

lawyers that facilitate it and the PR

45:12

firms that facilitate it. Like it is

45:14

what it is. Um so yeah, if you want to

45:17

play that game as an investor, you know,

45:19

caveat emptor, there's a very good

45:22

chance that you know your your like

45:25

WhatsApp group or whatever it is that

45:27

they're using to pump it is is not like

45:29

the inside circle of the pumpers and you

45:32

know you're eventually going to be left

45:33

holding the bag. So, um, you know, um, I

45:36

think it was was it Trump who said no

45:39

crying in the casino, you know, just

45:41

that's that's the game you play, you

45:44

know, be be prepared.

45:46

>> So, you have three sort of tiers. You

45:48

actually think that the fraud is the

45:50

least in the A shares listed in mainland

45:52

China and then in the middle is kind of

45:55

that the Hong Kong shares and the worst,

45:57

the most fraudulent, most junkier

45:59

actually the American listed Chinese

46:01

companies. So, I've not taken a

46:04

comprehensive look at ashare listings,

46:06

but my my assumptions have long been

46:09

like number one, a lot of these

46:10

businesses are fairly basic industrial

46:13

manufacturing businesses. So, you know,

46:16

you're not reinventing the wheel. The

46:18

other also when you look at, you know,

46:20

in the US, especially in the China fraud

46:23

caps 1.0, We know a lot of the

46:26

businesses that were total frauds were

46:28

you know basic manufacturing businesses

46:30

like paper company. However, what

46:33

allowed those to flourish as frauds were

46:37

the language barriers, the cultural

46:39

barriers, the lack of understanding of

46:41

the Chinese legal system and accounting

46:43

system and you know and and how to get

46:46

information on those companies you know

46:48

such as through government agencies in

46:50

China. All right. Well, in China, those

46:53

those information the those

46:54

understandings or misunderstandings

46:57

don't exist, right? So, and also look, I

47:00

think the time change, the time zone

47:02

difference also, you know, was somewhat

47:04

helpful for those those fraud caps. So,

47:06

in mainland China, a lot of the

47:08

businesses are much more basic, harder

47:11

to, you know, totally lie about, number

47:14

one. Number two, much more easily

47:16

diligent and better understood by the

47:18

investors there. Number three, um you

47:21

know, if the wrong people lose money

47:23

there, uh the consequences are quite

47:27

severe. So, you have real punishment

47:29

there. So, you know, is it that there's

47:31

no fraud in the mainland markets? No.

47:34

I'm sure that that would is not an

47:36

accurate statement. But um I've always

47:40

assumed that the mainland market would

47:43

be the cleanest place to buy um you know

47:46

to invest in a Chinese company.

47:48

>> And the reason for you not playing on

47:50

the short side in in Chinese American

47:54

listed ADRs is just you're not you're

47:55

not seeing opportunity there.

47:56

>> The issue isn't you know oh we can't

47:59

find anything that's you know like

48:01

totally misrepresented and you know and

48:04

therefore misunderstood. Um, but China,

48:08

it's there's so much more macro that is

48:11

behind those names. You know, the chi

48:13

Chinese TMT names are in favor. Nobody

48:16

cares that it's a fraud. They're out of

48:19

favor. You know, maybe, you know, maybe

48:21

you caught it right before they fell out

48:23

of favor and you look like a genius. But

48:25

you have just a lot of macro, you know,

48:27

flows that really determine what's going

48:30

to happen there. Number one. Number two,

48:32

the SEC cannot investigate those

48:34

companies. generally cannot erase those

48:37

companies because the Chinese side does

48:40

not cooperate.

48:41

>> So you really have to like luck and

48:43

coffee rely on the auditor doing a you

48:47

know doing somewhat of a thorough job

48:50

and that's usually not in the auditor's

48:52

interest to do that especially in China

48:54

where you know if the auditor doesn't

48:57

like turn up the fraud, you know, turn

48:59

up evidence of the fraud, you know,

49:01

probably nothing happens to anybody

49:03

ever. Um and yeah then the you know then

49:07

the final thing is it's it's a lot

49:09

harder to do that work in China now you

49:11

know the government is generally not

49:14

um permissive of that and you know

49:17

they'll they've taken extreme measures

49:20

including putting people in prison

49:22

who've done just low-level investigative

49:24

work you know taking videos and photos

49:26

you know not having any share of the

49:28

economics in the short just you know

49:30

being paid by their investigation firm

49:33

employer

49:34

or you know a contractor just go you

49:36

know here a few hundred dollars go snap

49:38

some photos and you know I know one case

49:40

where the dude went to prison for I

49:42

think a couple of years

49:44

>> and so you have a Southeast Asian fund

49:46

now is it only invested in Vietnam or

49:48

it's Vietnam and India

49:50

>> the fund has been uh Vietnam only and

49:53

you know we are going to be launching an

49:55

India product um India is a much larger

49:58

market there are a lot more names there

50:01

um it's a lot more dynamic and benefits

50:04

from some of the same trends uh macro

50:07

trends that Vietnam benefits from. It

50:10

has some of its you know but it also has

50:12

its own different story as well. Uh very

50:15

strong consumer growth story. So um but

50:19

you know similar you similar point there

50:21

that there's edge in doing deep research

50:25

there because not a lot of people are

50:27

are doing that there. So um we are we

50:31

will go places or add strategies where

50:34

you know where there's edge. I mean if

50:35

somebody came to came to me and said hey

50:38

I do XYZ and you know I I do well in it

50:41

and here's why you know it's niche and

50:43

here's why there's edge we're very

50:45

interested in having conversation with

50:47

that person about plugging uh him or her

50:49

into our platform. So India, we think

50:53

you can have edge there just like we do

50:55

with Vietnam.

50:56

>> And I believe it says that India has a

50:59

ton of companies, maybe even more listed

51:00

companies than in America. Yes.

51:02

>> Whereas I've heard that Vietnam does not

51:06

have that many listings.

51:08

>> Vietnam, you know, its economy is much

51:10

smaller than that of India. The public

51:12

market is that is much smaller than that

51:14

of India. So um yeah, so we're able to

51:17

take advantage of the infrastructure we

51:19

have in Vietnam to do the India

51:22

expansion because you know at this point

51:25

I mean we know pretty much all the

51:27

companies that are in the universe that

51:29

we would consider investable in Vietnam

51:31

whereas you know in India I mean it

51:33

would take a whole lifetime to get to

51:36

that stage I think. So you mentioned a

51:39

broad macro thesis of with the US and

51:41

China having us, you know, a little bit

51:43

of a cold war. Companies that are in the

51:45

middle like Vietnam and India are going

51:46

to benefit. So I I imagine that is a

51:50

thesis that could be a a a tide that

51:52

could lift many boats. What was it

51:54

specifically about Vietnam that made was

51:56

it was it the opportunity in ter I guess

52:00

were you still bullish on Vietnam beta

52:02

or were you bullish on Vietnam alpha of

52:04

like okay let's be honest there are a

52:06

lot of funds that uh you know invest in

52:09

Japanese equities and some of those

52:11

funds are actually very smart people and

52:13

so we want to compete in a world where

52:15

we you know we we can really

52:17

differentiate ourselves.

52:18

>> I'd say the the principal thesis was

52:20

Vietnam beta. I mean, the way that I saw

52:22

it six years ago was that coming out of

52:25

COVID, there would be, you know, Vietnam

52:28

would be the single largest beneficiary

52:30

of FDI flows being redirected from China

52:34

to Vietnam or to to other countries. I

52:38

think that has played out and will

52:39

continue to play out. Um, Liberation Day

52:43

was a massive volatility event when it

52:46

came to that. I think initially the

52:47

tariff that was announced on um imports

52:50

from Vietnam was like 90%ish

52:55

which was insane. Um but you know not

52:59

withstanding that Vietnam is a premier

53:02

destination for export oriented

53:05

manufacturers and it is also working its

53:08

way up the value chain. Now it's never

53:10

going to be China. it just doesn't have

53:12

cannot have that scale but it also has

53:14

very favorable demographics. India is

53:17

somewhat of a different story and look

53:19

one thing that we are having to watch

53:22

closely of course is what impact

53:26

I don't call this AI because you know I

53:30

I'm like these are large language models

53:33

but one impact large language models

53:35

will have on the tech sector in India

53:39

and um you know specifically you know

53:41

software outsource software development

53:43

and business process outsourcing and

53:46

what that will do to uh consumer demand

53:50

um in India. So that's something that

53:52

we're watching. Um but you know for the

53:55

moment we're very positive on India

53:57

although the valuations in India are

53:59

pretty crazy but you know I've I've come

54:02

to kind of feel like you know and in

54:05

today's world there's so much liquidity

54:07

that you know

54:10

you know valuation doesn't really

54:12

determine whether something goes you

54:14

know up uh you know or down in the near

54:16

term. It's you know there are other

54:18

factors there are flows that drive these

54:20

that drive these things uh that are can

54:23

be completely divorced from fundamentals

54:26

and valuation

54:27

>> and what is your process specifically

54:30

for the the ongoing Vietnam fund.

54:32

>> It's great to troll this to troll the

54:35

ocean for the undiscovered gems but the

54:37

problem is if you're really the only one

54:39

doing that you know who's your marginal

54:41

buyer? Who's going to buy after you buy?

54:44

So, um, it's kind of a depressing

54:48

state of affairs when I think about how

54:52

I view investing on the long side now

54:54

because, um, look, I I want to I I want

54:58

to live in a world where where

55:00

valuations and where price where prices

55:03

match actual economic values and where

55:07

it is, you know, where you can go and

55:08

find those undiscovered gems and, you

55:11

know, and the price eventually catches

55:12

up with the value uh you know with the

55:15

value of the business, but that's not

55:17

the world that we live in. And so

55:19

there's you know so there's been an

55:21

adjustment basically say look you know

55:24

what are investors excited about you

55:26

know what might they be excited about

55:28

next? Um let's look at the companies in

55:31

that space. You know let's look at who

55:33

we like the best and you know do some

55:35

real deep uh research on it. you know,

55:38

maybe it's one that's not, you know,

55:40

that's not at the top of the list in

55:41

terms of what investors are paying

55:43

attention to, but what we think can move

55:44

up that list. Um, you know, maybe it is

55:47

at the top of the list and we'll look at

55:49

it and say, but it's so richly valued

55:51

right now, we just, you know, we we

55:54

can't like, you know, we can't buy it

55:56

right now, but we'll be patient and wait

55:59

for something to happen and then buy it.

56:01

But that's that's the adjustment that

56:04

um, you know, that I've made. I mean so

56:06

when we started this journey and you

56:09

know focusing on Vietnam and you know

56:11

also had in mind the India theme uh 6

56:14

years ago uh the idea was to be was to

56:18

be bottom up but you know what we've

56:21

seen as short sellers here what we have

56:23

seen in Vietnam what we observe of India

56:26

and also just you know I've done

56:29

personally very well in our momentum

56:31

strategy here for S&P 500 names

56:36

All of this has just convinced me that

56:38

think about themes. It's not reinventing

56:40

the wheel. Um just, you know, like top

56:44

down and and stop trying to go where

56:47

nobody has been yet because they're

56:51

probably not going to show up anytime

56:52

soon either.

56:53

>> I'm just looking at the M MCI Vietnam

56:55

index. So yeah, last year it had

56:57

incredible performance 2025, but it has

57:00

definitely been a lagger over the past

57:02

many years. to what do you attribute

57:04

that and do you think that your thesis

57:06

of Vietnam is going to be a recipient of

57:09

foreign direct investment flows that

57:11

otherwise would have gone into China

57:13

that thesis was correct but is it

57:15

propelling investment performance and

57:17

and capital returns

57:18

>> yeah we think it's been a lagard because

57:20

under the under the prior government

57:22

there was a lot of there were a lot of

57:25

decisions that were just there was total

57:27

decision paralysis you know from the

57:29

municipal provincial levels on up to the

57:32

central level and so I'd say that the

57:35

wounds were somewhat self-inflicted and

57:37

by having that decision paralysis I mean

57:40

it's not just about stateowned

57:41

enterprises there's this entire you it's

57:44

about private companies getting approval

57:46

to expand um and you know and then look

57:48

the they came out of co as well so they

57:51

had to like many economies they had to

57:53

start from you know standing start

57:55

basically we did see an acceleration in

57:58

what we're interested in in terms of the

58:01

decision-m process

58:02

projects being unlocked that you know we

58:05

think will unlock value and you know

58:07

increase demand within uh within

58:09

Vietnam. So I think on the macro level

58:13

um you know we've in just in terms of

58:15

the FDI flows we've been correct. I mean

58:18

90% tariff would have you know would

58:21

have really put that you thesis at risk

58:24

but of course that was pretty quickly

58:27

dialed back. Um but um so we've the

58:31

macro thesis has been correct. I think

58:33

it'll continue to be correct. Um the the

58:37

political environment uh needed to

58:40

change. I think we underappreciated that

58:42

um at the beginning. Um we think the

58:45

political environment is where it really

58:47

needs to be for the private sector. I

58:49

think we underappreciated the, you know,

58:51

the thematic nature here and that we've

58:54

been going after too many of those, you

58:56

know, looking looking for the

58:57

undiscovered gems, which just not really

59:00

the right way to play it.

59:01

>> And those undiscovered gems, some a lot

59:03

of them, as you say, stay undiscovered.

59:05

Tell us about the momentum strategy in

59:07

the US for the S&P 500.

59:10

And what does it say about the

59:12

investment landscape right now that that

59:14

is kind of the the hottest strategy you

59:16

have right now is just kind of no

59:18

fundamental analysis chasing the hottest

59:20

stocks?

59:20

>> It's not the hottest. Uh resources did

59:23

did outperform it last year.

59:24

>> Okay, thank you for correcting.

59:25

>> I think momentum was up gross 70ish%.

59:29

Um I'm soft on that number because it um

59:33

you know it uh I' I'd have to go back

59:35

and look exactly but we um yeah but

59:38

basically I mean what we're doing every

59:40

month so we have the way that we measure

59:42

momentum it's only on within S&P 500

59:45

constituents and we're rebalancing

59:48

monthly uh highly concentrated in the

59:51

names that score the highest. So there

59:54

you know there can be a lot of

59:56

volatility uh to the downside. Now, I

59:58

mean, we've well, and the upside, but we

60:01

also have a version of this we could run

60:03

that would have roughly 100 names and

60:05

less concentration, but um but in any

60:08

event, that's that's how we that's how

60:11

we have approached this. We started

60:12

running it in October of 24 in real life

60:16

um in very small size in one of our uh

60:18

vehicles. Before October of 24, we had

60:22

back tests. So what we've observed and

60:24

also we've seen um in back tests is that

60:28

you know it was interesting like the

60:29

number one name in left curve from

60:32

October of 24 until September of 25 was

60:36

Palunteer

60:38

and then in starting in September of 25

60:41

it became Western Digital and after it

60:44

became Western Digital and you know and

60:46

both Micron and Seagate at different

60:49

times made it into uh made it into the

60:51

list as Well, um after that is when

60:55

maybe two months after that's when got

60:57

that headline about the the the memory

61:00

shortage and the squeeze. And so looking

61:03

at that, you know, looking at the back

61:05

test, what you can see at times from

61:08

from this, you know, from the strategy

61:10

is that it's showing rotations that like

61:14

it's a leading indicator of some of the

61:16

rotations that are underway. um you know

61:19

to energy away from energy you know in

61:21

the back tests. So uh to AI and then AI

61:26

gets you know then it goes from like the

61:27

AI software to the hardware. Uh we

61:30

started to see some resources creep in

61:33

but um you know the last trading day of

61:36

last month uh you know zeroed zeroed out

61:39

this one resource name that had been

61:41

really strong. Um so yeah so it's um

61:45

it's a very interesting strategy like

61:47

that and it and it's definitely the vast

61:49

majority of the time it has not been it

61:52

has not had a major um concentration in

61:55

mag seven names so it's not a mag seven

61:57

name and that's uh I mean at times like

62:00

U has been in there and uh what have

62:02

you. So um so yeah it's you know look

62:06

it's much easier way to make money I say

62:08

than active short selling. So that's

62:10

that's what I like about it. you've done

62:12

it during a a quite a a big strong bull

62:15

market. What do you think this is going

62:19

to do during a bare market? Obviously,

62:21

not, you know, not asking for

62:22

projections, but just in terms of a back

62:23

test in your, you know, your personal

62:24

opinion.

62:25

>> So, these are all S&P uh S&P 500

62:28

constituents. So, really, none of these

62:31

should ever be totally fake companies. I

62:33

mean, they're they're real businesses.

62:35

um back test in 2022

62:40

on a gross basis. So the the S&P 500

62:43

closed down 18% for the year and on a

62:46

gross basis on a back test um you know

62:49

at least back test of a version you know

62:51

it was maybe a couple versions ago um

62:54

this finished up for the year uh I think

62:56

maybe 10 to 12%

62:58

>> in 2022.

63:00

>> Yeah in 22. So again, that's

63:03

hypothetical. That's back test. Um, and

63:06

we've we've tweaked the model some since

63:08

then. Um, I, you know, obviously I think

63:10

for the better, but yeah, it's not to

63:13

say that this can't lose money. I mean,

63:14

of course it can lose money, but you

63:17

know, what what I also think is

63:19

interesting is because, you know, we're,

63:21

you know, our core business has been

63:23

activist shortelling. you know, I think

63:26

it could be really interesting to pair

63:28

longside exposure, you know, to

63:31

something, you know, momentum, you know,

63:32

like like left curve with, you know,

63:35

some version of our short of our short

63:37

book. So, you know, that's that's a

63:41

that's a strategy that we're testing out

63:43

as well right now. I mean such a uh

63:46

accomplished fundamental research and

63:48

investing shop on the short side as

63:50

yourself and Muddy Waters that you are,

63:53

you know, so interested in quantitative

63:55

momentum investing. I just think that

63:57

speaks to the time that we're in right

63:59

now.

64:00

>> It does definitely speak to the time

64:02

that we're in. Yeah. And and look, I

64:05

mean, I think it also, you know, it also

64:07

speaks to our our pragmatism as a firm,

64:09

right? Like I mean the you know on the

64:12

short side I think the one of the

64:14

problems is that so often and I' I've

64:17

been guilty of this many times over the

64:19

years I think less so now but you know

64:22

we view the world the way we want it to

64:24

be not the way that it actually is and

64:26

so we made a decision several years ago

64:29

we're business right like we're we're an

64:32

asset manager and we want and we want to

64:36

broaden broaden out what we do core for

64:40

business is activist shortelling. But

64:42

yeah, if if something is in niche that

64:45

looks like it can make real money, you

64:47

know, and I'm I'm not interested in, you

64:49

know, oh, we can produce nine to 10%

64:52

with no, you know, with very little

64:53

vault, like that's uninteresting. But if

64:56

we if we have stuff that can, you know,

64:58

can really generate significant returns,

65:01

we're excited about possibly adding

65:03

those strategies and and people who can

65:06

manage them. Carson, your last report

65:09

from Muddy Waters Research was in May of

65:12

2025, so many, many months ago. Can you

65:15

give our listeners reassurance that your

65:18

days of activist shortselling are not

65:20

over and that you will be back?

65:23

>> It's early February right now. I mean, I

65:25

think by the end of February, we're out

65:26

on something. Certainly by the end of

65:28

March, we're probably out on a few

65:30

things. So, yeah,

65:31

>> you got a few things cooking. You got a

65:33

few things cooking.

65:33

>> Yeah. Yeah. I mean, I'm yeah, I'm

65:35

actually I've like started, you know,

65:37

almost nervously tapping my foot here

65:39

because I know I've got to get back and

65:41

write something, right? You know, work

65:43

on my writing on something right now

65:45

that's an activist short, uh, you know,

65:48

piece. So, um, so yeah, uh, not not to

65:52

mean that it comes out this month, but

65:54

there's something that I that is

65:56

timesensitive here with it. So, so yeah,

65:58

we're, you know, we're fully engaged. Um

66:01

but you know just the idea of

66:04

short shorting something that has really

66:06

strong momentum right now um bad idea.

66:12

>> That is a good conclusion to draw from

66:13

this conversation. Carson, thanks so

66:15

much for joining. People can find Muddy

66:16

Waters Research on X at muddywaters re

66:20

uh the website muddywaters research.com.

66:23

Please leave a rating and review for

66:24

Monetary Matters on Apple Podcast and

66:26

Spotify, and subscribe to the Monetary

66:28

Matters YouTube channel. Thanks for

66:30

watching. Curious about harnessing AI to

66:33

access international equity? Check out

66:34

the link in the description to learn

66:36

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66:38

international equity ETF, ticker PQNT.

66:41

Until next time.

Interactive Summary

Carson Block, founder of Muddy Waters Capital, shares his insights on the current state of financial markets, the proliferation of 'pretender' companies in the AI sector, and why he believes shorting momentum stocks is currently dangerous. He explains his firm's diversification into long positions like Snowline Gold and quantitative momentum strategies, while analyzing the mechanics of market cycles, the differences between current tech giants and the 2001 dot-com bubble, and the geographical risks and opportunities in China, Vietnam, and India.

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