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Your Brain is the Worst Investor in the Room — ft. Scott Nations | Prof G Markets

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Your Brain is the Worst Investor in the Room — ft. Scott Nations | Prof G Markets

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1256 segments

0:00

Today's number, 67,000.

0:03

That's how many miles per hour the Earth

0:06

travels around the Sun. Astronomers

0:09

tried for centuries to understand the

0:11

sun, including where it goes at night,

0:14

but eventually it dawned on them.

0:21

Welcome to Prof Markets. Scott is still

0:24

away. He will be back on Monday, but we

0:27

have a great interview today. We have

0:29

been spending a lot of time this year

0:31

thinking about how to invest in 2026.

0:35

We've been hearing the bull case. We've

0:37

heard the bear case. Still, it is hard

0:40

to know what to think. So, today we are

0:42

talking to someone who spent his whole

0:44

career studying this stuff. He's also

0:46

written a book on how to invest in

0:49

uncertain times. He's also written

0:51

another book about US market crashes.

0:53

So, we're very excited to speak with

0:55

him. We're going to get into it now.

0:57

This is our conversation with Scott

0:59

Nations, president of Nations Indexes

1:02

and author of The Anxious Investor.

1:05

Scott, thank you very much for joining

1:07

me on Profy Markets.

1:08

>> Thanks for having me.

1:10

>> So, a lot we want to get into here. I

1:12

want to start with some concepts from

1:14

your book and then I want to sort of

1:17

think about how we can apply these ideas

1:19

to markets and how we can think about

1:21

investing in 2026. But let's just start

1:24

with your book. Uh the opening line from

1:28

the anxious investor is quote the human

1:30

brain is ills suited for making wise

1:33

investment decisions. I love that. Why

1:37

why is the human brain so bad at making

1:41

investment decisions?

1:42

>> The simple uh explanation is that

1:47

investing is relatively new and

1:48

evolution is not. And so uh human beings

1:53

evolved when they faced very different

1:56

decisions uh versus you know what should

1:59

I do with my portfolio or that sort of

2:01

thing and let's face it that for a

2:03

100,000 years when humans were on the

2:06

savannah

2:08

uh they they had to become loss averse

2:11

or risk averse two different things but

2:13

they're related because the the cost of

2:17

making the right decision or the benefit

2:19

for making the right decision decision

2:20

would be relatively small. You might get

2:23

that night's meal, but the cost of

2:25

making a wrong decision could be

2:27

catastrophic.

2:28

And so, we've evolved and we've been

2:31

socialized in ways that just are not

2:34

really compatible with making great

2:37

investment decisions. And as I was

2:40

writing the book and researching the

2:42

behavioral

2:44

uh biases that we all display, uh it

2:48

dawned on me that of the 14 or 15 I talk

2:50

about in the book, none of them, not a

2:53

single one, Ed, makes you a better

2:55

investor. They all make you uh a poorer

2:59

investor. They all hurt investment

3:01

returns. And so that's why that is the

3:04

case because these biases were created

3:08

hundreds of thousands of years ago in

3:10

some cases. Uh but unfortunately

3:13

investing is relatively new.

3:15

>> The piece of data that you point out and

3:17

this is from Vanguard which I find

3:20

fascinating is that behavioral biases

3:21

these biases that you talk about on

3:24

average they reduce returns by 150 basis

3:29

points per year. So that's minus one and

3:32

a half% because of whatever these

3:34

evolutionary behavioral biases built

3:37

into the human brain are. Um what are

3:41

some of these biases? You mentioned loss

3:45

aversion, risk aversion. What are some

3:47

of the the really bad ones that screw

3:50

investors up the most?

3:52

>> There are a couple that are just

3:54

particularly fascinating to me. Now, I

3:56

spent 25 years as a proprietary option

3:59

trader at the Chicago Merkantail

4:01

Exchange. So, trading for my own

4:03

account, trading for my firm's

4:04

proprietary account. And so, I've seen

4:06

all of these biases in action. I will

4:08

say this, one of the ones that uh as a

4:12

proprietary trader, you have to really

4:14

disabuse yourself of straight away is

4:17

the disposition effect, and it's one of

4:19

the most insidious, but also common

4:23

biases. Let's define our terms and the

4:26

disposition effect is the tendency that

4:28

all investors have to sell their winners

4:31

and hold their losers.

4:33

>> And uh there is some research which

4:37

quantifies the the loss that most

4:41

investors experience uh by falling for

4:44

this that is by sell by selling their

4:46

winners and holding their losers. And

4:48

the reason I say it's insidious is

4:50

because it's so easy to rationalize what

4:52

you're doing. You're looking at your

4:54

portfolio. You want to sell something to

4:56

raise some money. And so you say, "Well,

4:58

this this one's done really well, so I'm

5:00

going to sell it, and I'm not being

5:02

greedy. Pat myself on the back. I'm not

5:04

going to be greedy, so I'm going to go

5:06

ahead and take my big win there." On the

5:08

other hands, you may be looking for

5:10

something. And you say, "You know what?

5:11

This one's a loser. It hasn't done very

5:13

well, but again, pat myself on the back.

5:15

I'm going to be patient. I'm going to be

5:18

patient, and so I'm going to hold on to

5:19

my loser." But Professor Terry Odin at

5:21

Cal Berkeley is the one who's quantified

5:24

the damage does to your portfolio and he

5:26

shows uh that over time the winners that

5:30

you sell will outperform the losers that

5:32

you hold. What about if it could happen

5:36

the other way where maybe I mean I I

5:38

don't know if this is a bias that

5:40

affects investors as much as perhaps the

5:42

disposition effect but you know oh the

5:45

line's going up therefore it must be

5:48

continuing to go up forever as an

5:50

example or the line's going down and so

5:52

oh no that that's a bad thing that's a

5:54

red flag. Is that another bias that that

5:58

we see in the markets or is that less of

6:00

a problem? That is certainly the case

6:02

and there are several biases at work

6:03

here. One is say availability.

6:06

So if you hear about the fact that uh

6:09

for example Google just became uh a $4

6:12

trillion company market cap wise. Well

6:15

that was in the news. So now if you're

6:17

looking to buy something Google will be

6:18

top of mind for you

6:20

>> whether or not it's you know had a

6:23

really great run and you think oh it's

6:24

top of mind so I'm going to buy it. And

6:26

so of that is certainly the case. But

6:29

there are other uh biases that kind of

6:32

intersect here. One would be hurting.

6:35

Investors love to buy what everybody

6:37

else is buying. Uh in the pit, you learn

6:40

that that's absolutely the wrong way to

6:42

go. But investors love to buy what other

6:45

people are buying. So, if they're piling

6:47

into meme stocks like AMC or GameStop or

6:52

Google or something else, it's done

6:54

really well, then they love to to get

6:57

into it. They love to follow the herd.

6:59

There's a social aspect to it,

7:01

particularly with meme stocks. And so,

7:03

those are all biases that will

7:05

ultimately generate inferior returns.

7:08

One of the biases that you talk about

7:10

which I find really interesting is this

7:12

idea of fantastic objects as fantastic

7:15

about PH. And basically this is this

7:18

idea that people will buy stocks not

7:23

necessarily because this it's a good

7:25

stock or because they've looked at the

7:27

financials or whatever it is but because

7:28

they want to feel connected to the

7:30

people who are behind that stock. So the

7:34

example would be like in the '9s you're

7:36

buying Apple cuz you love Steve Jobs and

7:38

you want to feel some sense of

7:40

connection to Steve Jobs. Um can you

7:42

talk more about this one? I find this

7:44

fascinating and are we seeing this

7:46

today?

7:46

>> You've explained it perfectly. It is a

7:49

situation where people investors

7:53

are enamored of some well-known founder

7:57

or business executive. U often they're

8:00

iconoclastic.

8:01

uh they're often a little bit outside

8:04

the box. They break the mold a little

8:06

bit uh in 1999 in that period. Uh Steve

8:11

Jobs, Bill Gates would have been the two

8:13

perfect examples. Uh and yeah, people

8:16

buy either the product or the stock

8:18

because they get this sense that in

8:20

doing so, they're closer to physically,

8:24

emotionally, socially closer to Steve

8:27

Jobs or Bill Gates. And so they they buy

8:31

the product, they use the product, or

8:33

they buy the stock. And obviously,

8:37

Bill Gates wants you to buy a Windows

8:39

computer. He wants you to use Windows.

8:41

He wants you to use a bunch of Microsoft

8:43

software, but he doesn't know that

8:45

you're doing that. He doesn't know that

8:46

you own the stock. Not certain he

8:48

particularly cares about that at this

8:50

point, but people do fall for that. And

8:53

the poster child right now would be Elon

8:56

Musk. He is he's in the news. He's a

8:59

kind of classic. He does things very

9:01

differently. Marches to his the beat of

9:03

his own drummer. Uh whatever you want to

9:05

say about him, but you know, he builds a

9:07

neat car and people feel like if they

9:09

buy a Tesla, they're a little bit closer

9:11

to him in sympathy with him. And often

9:14

they feel the same thing about the

9:15

stock. If they buy Tesla stock, then,

9:19

you know, maybe it's the Peter Lynch

9:20

thing from so many decades ago.

9:23

You know, I it's it's what I'm buying

9:25

what I know. Well, you don't really

9:26

know. uh but you you like the story and

9:30

that's fine and so you buy the stock.

9:32

One thing that's so difficult about

9:34

markets and about investing. I mean you

9:36

those those people who are buying Tesla

9:38

stock because they like the story

9:41

because they like Elon Musk they want to

9:42

feel close to him which I think is

9:43

definitely true and I think it is a

9:46

problem but they've been rewarded at the

9:49

same time. They've done pretty well if

9:51

you were a big fan of Elon Musk and then

9:53

it turns out a lot of people are a big

9:54

fan of Elon Musk even if that is the

9:56

primary force driving the valuation of

9:58

the company. Um, I'll get hate for

10:01

saying that, but let imagine it is.

10:03

You're still being rewarded. And I guess

10:05

this is the thing that I struggle with

10:07

markets is it's all stories in a lot of

10:10

ways. I mean, stories are what drive

10:14

markets. Stories are what drive uh

10:16

valuation. I mean, there's obviously

10:18

fundamentals, too, but increasingly

10:21

stories seem to be what determine price.

10:24

And so it sounds like part of the idea

10:28

of eliminating your biases is to

10:30

eliminate your susceptibility to

10:33

stories. But at the same time, that's

10:35

the whole ball game. So how do you think

10:38

about these concepts? How do you think

10:39

about the difference between I guess

10:41

narrative versus numbers? Which wins in

10:44

which situations? How should I think

10:46

about stories when I'm investing?

10:48

>> Sure. It's easy for an investor to say,

10:51

I I don't it doesn't matter why. Uh

10:55

yeah, maybe I am falling for this and I

10:58

buy Tesla stock because for all the

11:02

wrong reasons that Scott's just

11:04

enumerated. Uh but it works. I'm not the

11:07

only one. And if I'm not the only one,

11:10

and the same could be true for, you

11:12

know, GameStop during the meme phase, uh

11:16

I can make a bunch of money. And isn't

11:18

that where isn't that really what

11:19

matters? And that's absolutely true. And

11:22

um you know I remember being in the pit

11:25

and there were times when you knew the

11:27

pit was all one way and it didn't really

11:30

matter what the next print was 60

11:34

seconds later. If you know which way the

11:37

pit is leaning, then that's half the

11:40

battle. Um and and so it's easy to say,

11:44

well, you know, yeah, maybe it's crazy

11:47

to buy Tesla stock because Elon is a

11:51

kind of classic, but if it works, it

11:53

works. The the problem is that it works

11:56

until it doesn't.

11:58

>> Yes.

11:58

>> And then when it doesn't, we still hold

12:00

on too long because we have confidence

12:03

in the company or or the founder. And we

12:06

hold on. We hold on. We hold on. and we

12:08

go through a series of stages a little

12:10

bit like the Kubler rust stages stages

12:14

of grief and it's only when we've gotten

12:16

disgusted with ourselves that investors

12:19

pull the plug cell and that's often at

12:22

the bottom. So, you know, you there's no

12:24

way you can look at Tesla

12:26

and explain away the the premium that

12:32

that stock brings, the multiple that

12:34

that stock demands compared to the rest

12:37

of the world automotive business. So,

12:40

you know, if you want to buy it because

12:41

you love Elon, then okay, go ahead. But

12:44

I think you're setting yourself up for a

12:47

dynamic that will not work out in the

12:49

long run.

12:50

>> Yeah. I mean it seems as though because

12:52

of these biases and because you know I I

12:55

think the example of okay Google's in

12:57

the news a lot. I'm thinking about

12:58

Google more and now I'm inherently

13:00

biased towards Google just because of

13:02

this kind of arbitrary

13:04

uh fact which is I've been reading about

13:06

it a lot. I keep on seeing the name. Um,

13:11

it makes me think that we can't quite

13:15

trust our instincts or maybe instance is

13:18

the wrong word, but we can't quite trust

13:20

our brains all the time. Um, we can't

13:23

trust our view at any given moment. And

13:28

that leaves us with the question of

13:29

okay, then what should we trust? Um, and

13:33

I I guess I would put that forward to

13:35

you as a a highly experienced investor

13:38

and also as as a trader, someone who has

13:40

been in the pit, who's been in this game

13:42

for a long time.

13:44

What do you trust then if you can't

13:46

quite trust yourself? Or maybe there's a

13:48

way to trust yourself? Who are you

13:50

supposed to trust if you can't rely on

13:52

your own brain? I think one thing to do

13:54

is to develop a process, tweak the

13:57

process, and then when the process

14:00

works, tweak it a little bit more,

14:02

improve, but but start to rely on the

14:04

process. And you hear you hear

14:06

professional athletes talking about this

14:07

all the time. And so if your process is,

14:10

oh boy, Google just became a $4 trillion

14:13

company. Let me buy a 100 shares. Well,

14:15

that process probably needs more than a

14:17

little tweaking.

14:18

>> Yes. But uh you know Warren Buffett

14:21

probably put it most succinctly when he

14:23

says that in the short term the stock

14:25

market's a voting machine. Lately people

14:27

have been voting for Google. They've

14:29

been voting for Tesla. But in the long

14:31

term it's a weighing machine. That is

14:33

its objective. You know, if you were to

14:36

ask somebody to name,

14:39

say, the, you know, 20 companies in the

14:43

S&P 500, there'd be tremendous overlap

14:46

between the the the stocks that

14:48

everybody names, and they're either the

14:50

biggest stocks or the ones that have

14:51

been in the news. But, you know, that

14:53

leaves about 480 stocks that may be

14:55

great investments that just don't get

14:58

any attention that people just ignore.

15:01

And if you're going to limit your

15:05

your investment universe to a tiny

15:08

fraction of things that are available,

15:10

then doesn't it seem like you're going

15:12

to underperform from somebody versus

15:13

somebody who's looking at the entire

15:15

universe of stocks?

15:19

We'll be right back after the break. And

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17:36

>> We're back with Profy Markets. Just

17:38

thinking about herd mentality for a

17:40

moment, which you brought up as, you

17:42

know, one one of these biases.

17:45

How do you

17:47

counteract that bias? Uh I struggle with

17:50

this one because you know at the same

17:52

time

17:54

you you want to be informed by people.

17:56

You want to have a broad understanding

17:58

and a a broad base of knowledge. You

18:00

want to understand what's happening. So

18:03

you want to be listening to other people

18:05

but at the same time you don't want to

18:07

be following other people just because

18:10

that's what other people said. You don't

18:11

want to just be the sheep in the herd.

18:15

So as an investor and as a trader um how

18:18

have you experienced that bias

18:20

throughout your career? Um and are there

18:23

any processes you you employ to prevent

18:29

falling susceptible to that?

18:30

>> This goes handinhand with another bias

18:32

and that is availability.

18:34

So people tend to and this is related to

18:37

some of the other biases we've talked

18:38

about already. If a potential investment

18:40

is available to you, available to your

18:43

mind, your memory, then you're going to

18:46

tend to invest in that. And so, you just

18:49

have to ask yourself, I think you just

18:51

have to have a fearless conversation

18:53

with yourself. Why?

18:55

>> Yeah.

18:55

>> Why is this top of mind for me right

18:57

now? Uh, is it because my next door

19:01

neighbor or the guy across the street or

19:02

somebody else mentioned it or I saw that

19:06

it has rallied a bunch? uh is that why

19:09

it's available to me or is it available

19:11

to me because I think given the news

19:15

that oil field services companies are

19:17

going to do well and then I look at the

19:20

top two or three or four oil field

19:23

services providers and that's a very

19:25

different process.

19:26

>> Yeah.

19:27

>> And so I think you have to again tweak

19:30

your process but also be honest with you

19:31

why why am I thinking about this now?

19:34

Why am I doing this now?

19:35

>> Yeah. And if you can have that

19:37

conversation with yourself, then I I

19:40

think you're going to end up being a

19:41

better investor.

19:42

>> I do think this is also applicable to

19:44

life in general. It does seem as though

19:47

we can't quite trust our emotions from

19:49

any moment to to another. And so the

19:52

only real way to get anywhere is to have

19:56

some process or maybe some list of

19:58

values or some set of principles that

20:00

you always return to and then you can

20:03

sort of figure out whether this is the

20:05

right decision or the or the wrong one

20:07

based on what you've already written and

20:09

thought through uh on your own. So I I

20:13

do think it's it's great advice. I just

20:15

um want to think about how this all

20:18

applies to the year 2026

20:20

where I mean it we're going to see a lot

20:25

of these forces at play. I'm I'm going

20:26

to just list a few of the forces that I

20:29

think are going to be big this year

20:32

um and which happen to be uh subjects on

20:35

which you are an expert. So one is

20:38

extreme volatility. This is something we

20:41

saw in 2025. if we had liberation day

20:44

among other things that is likely to

20:46

continue. Uh two, a potential bubble.

20:51

This has been a big topic of

20:52

conversation that we've been debating

20:53

with various people on this podcast over

20:55

the past 6 months or so. Three, uh an

20:59

explosion in options trading,

21:01

specifically zero day options trading,

21:04

which we can get into. Also, an

21:06

explosion in retail trading and what

21:09

that might do to markets. And then uh

21:12

finally I would I would add into this

21:14

the arrival of prediction markets which

21:16

kind of became sort of a big deal but

21:18

now they appear to be a really big deal.

21:22

There are more but I mentioned these

21:24

ones because you're an expert in all of

21:25

them. You run a volatility index firm,

21:28

you're an options trader, you've written

21:30

about bubbles, you've written about

21:31

crashes. um which forces are the most

21:35

significant in your mind right now and

21:38

how do you see it playing out in 2026?

21:41

>> The one that's going to be most

21:43

important to most people is the second

21:46

thing you mentioned and that's the AI

21:48

investment thesis. I don't know if it's

21:50

a bubble yet, but let's let's let's try

21:52

and run down and I'll be real quick with

21:54

each one. So, extraordinary volatility.

21:57

We saw that in April surrounding uh

22:00

Trump tariffs. Uh markets been very

22:02

quiet the last was very quiet the last

22:04

half of 2025. We know it doesn't stay

22:07

that way. Volatility and when I talk

22:09

about volatility I generally mean uh

22:12

both implied volatility that is the cost

22:14

of options how risky option traders

22:17

think the next 30 or 60 days are going

22:19

to be and then realize volatility how

22:21

much the market actually bounces around.

22:23

So hasn't bounced around very much. Uh

22:26

it's done really well uh more or less

22:28

straight up. S&P gained about 17% last

22:31

year. Um so this is one of those things

22:34

that um it will stay quiet until all of

22:38

a sudden it doesn't. And there's a

22:40

really geeky word about volatility. Uh

22:43

volatility is heteroscadastic

22:45

meaning it'll stay low for a while and

22:48

then some shock will come along and it

22:50

will jump and it will stay high for a

22:52

while. the shock and the jump is going

22:56

to happen uh tomorrow. Don't know next

22:59

month. Is it next year? We don't know.

23:02

Uh but people have to be uh have to have

23:06

a portfolio that can weather that sort

23:08

of thing that's not overly uh not overly

23:11

aggressive. I'm interested to hear why

23:13

we've seen this transition in in in

23:16

volatility over the past year. I mean we

23:18

we had a very volatile first half of the

23:20

year um primarily due to the tariffs and

23:23

then gradually as you say it becomes

23:26

less volatile and actually what we're

23:28

experiencing now are some pretty big

23:32

geopolitical events political events

23:35

that you would think would royal

23:37

investors would would spark some

23:40

activity in the markets spike some

23:42

volatility

23:44

um but in many cases that isn't

23:46

happening and one thing that we've been

23:47

discussing this week. For example, this

23:50

criminal investigation into Jerome

23:51

Powell, which had a reaction from

23:55

markets, but less of a reaction than one

23:57

might expect in previous years, for

23:59

example. As a volatility expert, I just

24:03

want to get your views on why this is

24:05

happening. Um, is it maybe the

24:08

toxification of markets? Why is it that

24:11

we're seeing less volatility today?

24:13

Well, and I think another perfect

24:15

example is the incursion into Venezuela.

24:18

>> Yes.

24:18

>> Uh when I read about that, it was on a

24:21

Saturday morning. I thought, "Oh boy, I

24:23

got to watch the futures markets open on

24:26

Sunday night." And uh the

24:29

lack of volatility was really was really

24:33

staggering. It really was. Why is that

24:36

happening now? I think people have just

24:38

gotten inured to the fact that even if

24:41

markets sell off, dip buyers will come

24:43

in.

24:44

>> And among some of the people who just

24:47

blindly come in to buy stocks when

24:49

they're down, it's buy the effing dip.

24:52

And that's worked. It's worked for

24:54

years. It worked uh after CO. It worked

24:58

this April. And so I think people,

25:00

they're just fearless. They're fearless

25:01

now. uh and we have to unfortunately we

25:04

have to learn these lessons all over

25:06

again. Uh we will have some sort of ugly

25:09

debacle uh and stocks will probably fall

25:12

20 to 25% from their highs and it's only

25:16

then that people will learn the lesson.

25:18

Oh yeah, you know this does happen. You

25:20

know markets don't go straight up. I

25:22

shouldn't always buy the dip just

25:23

because I can buy the dip.

25:25

>> It's interesting because on the one hand

25:28

people seem to get very worried when

25:29

there's a lot of volatility. I mean the

25:30

VIX, it's literally people call it the

25:32

the volatility index, the fear index.

25:35

Like if there's a lot of volatility

25:37

happening, that's a bad thing. But on

25:38

the other hand, as you say, it's almost

25:41

more concerning if there's no volatility

25:45

in a situation like this because it

25:47

almost tells me people don't care or

25:50

they're not they're not even bothering

25:52

to price in whatever whatever downside

25:56

risk there might be as a result of

25:58

invading another country or threatening

26:00

the Fed chair with a with a criminal

26:02

investigation, whatever it might be. Um,

26:05

would you agree with that? I mean, one

26:07

thing that I I I often try to figure out

26:10

is why does it why is it important to

26:14

look at volatility and understand it?

26:16

How can it actually help us as

26:18

investors? I guess would you agree with

26:21

my framing that I just laid out? I would

26:24

but I would put it this way and I've

26:25

talked about this on Twitter uh for the

26:28

last say four or five years

26:31

when we've seen the price of options

26:34

spike that is implied volatility spike

26:36

and I'll try to do this without being

26:38

real geeky but there were times in the

26:41

past let's say two decades ago if we

26:45

have if we saw say the VIX spike um and

26:49

spike meaningfully it would take weeks

26:52

or months for it to come back to a more

26:54

normal level.

26:56

>> That's not the case anymore. There are

26:58

now so many people that are rushing in

27:00

to sell volatility that is sell options

27:03

whether it's for their own account or

27:05

one of these uh the mammoth uh number of

27:08

ETFs that are now engaged in volatility

27:11

selling that we're now to the point

27:13

where if the VIX spikes on Tuesday it's

27:17

going to be very very very close to

27:19

normal back to normal by Thursday or

27:22

Friday. just the the legion of people

27:24

who come in and sell these volatility

27:26

spikes uh because it's always worked in

27:29

the past. They want to sell options when

27:31

they're really expensive and and and

27:33

it's the first cousin to buy the effing

27:36

dip. Instead, this time they're talking

27:38

about sell the spike in VIX. Um and it

27:42

will work until it doesn't and some

27:43

people will really be hurt and that's

27:46

when we'll learn the lesson all over

27:48

again. We will get to the bubble, but

27:50

just continuing down this thread here,

27:54

this dynamic that you're describing of a

27:57

lot more this this huge inflow of

28:01

options traders who are trading off of

28:03

this volatility which is itself becoming

28:06

almost it's it's its own industry.

28:08

Something happens that gets people

28:10

anxious and you see a lot of movement

28:12

and activity and then people go in there

28:13

and try to scrape as much money as they

28:16

can. And we're seeing a lot of this in

28:18

the zero day options market which grew

28:21

to 59% of total options volume in 2025.

28:24

Um in other terms the these are the

28:27

shortest term options available to

28:31

traders. So I I guess I I as a as an

28:35

options trader what do you make of this

28:38

explosion in options trading that we're

28:40

seeing specifically really short-term

28:42

options? What does it tell you about the

28:44

state of the markets right now?

28:46

>> Yeah, I think there are let's say three

28:48

things going on that have that drive

28:51

this explosion in option trading. One is

28:54

that options can be a great tool and I

28:57

like to point out that you know if you

28:59

if you buy a stock or you short the

29:01

stock then you know your payoff profile

29:03

is it's a 45deree line. Uh on the other

29:05

hand, if you add options uh to some sort

29:09

of equity position, then you can create

29:12

superior completely different but

29:14

superior payoff profiles uh by combining

29:17

the two. And it it took a while for

29:18

people to really understand that and to

29:20

and to grasp that and to come on board.

29:23

Uh it also helped that all the the

29:26

online brokers now uh charge zero

29:28

commissions.

29:30

>> So if you were dubious before, uh you

29:32

have less reason to be dubious now. and

29:34

you might try your hand at option

29:36

trading. And then uh the the

29:39

gamification of zero DTE options. That's

29:43

an analogy to the meme stock craze. I'm

29:47

not a huge fan of zero DTE options

29:50

because of that. The things that really

29:52

make options a neat vehicle, they kind

29:54

of break down. Uh when you're talking

29:56

about zero DTE options, it's more of a

29:59

bet. It's more of a more of a

30:01

speculation. And I I understand why it's

30:04

happening and you can't ignore it, but

30:08

I'm not certain it's going to be good

30:09

for for very many people's portfolios.

30:11

>> Well, it seems that it it is another

30:14

part of the gambling trend at at large

30:17

in the stock market and in the options

30:20

market. I mean it seems as though

30:23

whether it's zero day options also

30:25

perpetual futures which we've been

30:27

starting to hear more about these these

30:30

basically no expiration date futures

30:34

where you can get like 20 to 100x

30:36

leverage and they're exploding right now

30:39

especially on decentralized exch ex

30:42

exchanges specifically in crypto

30:45

um and obviously we got the meme stock

30:48

craze obviously the prediction markets

30:50

as Well, um

30:53

are you concerned that this could lead

30:56

us to some I mean obviously a lot of

31:00

people are lead are losing money

31:02

probably on these trades is my

31:04

assumption but could this create

31:06

something larger is this a larger

31:10

problem than people perhaps think think

31:12

it is right now

31:13

>> yeah that's that's interesting so the

31:15

book that I wrote before the anxious

31:16

investor was a history of the US and

31:18

five crashes I write about the five

31:20

modern American stock market crashes.

31:22

And one thing I write about there is

31:23

that each one is is attended by a new

31:27

novel financial contraption that injects

31:30

leverage at the worst possible time. So

31:32

in 1987 was portfolio insurance. What

31:35

could be better than portfolio

31:37

insurance? Well, the way it was actually

31:39

executed was horrible because it just

31:40

drove the stock market nearly down to

31:43

zero. the guy responsible for running

31:45

portfolio insurance for the biggest

31:46

portfolio insurer at one point said,

31:48

"Nope, I'm going to stop because if I

31:50

sell everything I'm supposed to, I'm

31:51

going to drive the market down to zero."

31:53

That was his quote in in 2008. It was

31:55

mortgage back securities. So, are the

31:58

prediction mark could that be uh the

32:00

prediction markets this time? I'm not

32:02

sure they're going to have the

32:02

opportunity to get big enough to really

32:04

cause a problem, but um and you can say

32:07

what you want to about options or

32:09

futures, but uh when I became a member

32:12

originally of the Chicago Board of

32:13

Trade, they hammered home the point that

32:16

futures markets were there to help

32:19

people hedge risk. uh whether it's

32:21

you're a wheat farmer or you're flower

32:23

mill or you're an insurance company and

32:26

you need exposure to the S&P 500 or

32:28

whatever,

32:29

that's not going on with the prediction

32:31

markets. Nobody has a risk to hedge if

32:35

they want to bet on what happens in

32:37

Venezuela over the next 30 days. That

32:39

they don't have that. That's not a risk

32:41

that they need to hedge. And so it's

32:44

yeah it's gamification and

32:47

worries about insider trading abound

32:50

now. Uh worries that people are not

32:52

really reading the details of the

32:55

contracts. So they don't really

32:57

understand what they're betting on and

32:59

it's a bet. It's not an investment. It's

33:01

not a hedge. So I understand why people

33:05

are enamored because they're new and

33:07

these things are timely. They're

33:09

available. Uh they're salient. And so

33:12

the biases run away with us because now

33:14

we think we have an opportunity to

33:18

bet on something that's top of mind for

33:20

us. And our bias has run away with us.

33:22

What do you think about the fact that

33:24

they're now getting pretty significant

33:26

institutional backing? I think the most

33:29

important example would be

33:31

Intercontinental Exchange, which owns

33:33

the New York Stock Exchange.

33:35

they last year or earlier this year made

33:38

a $2 billion investment into Poly

33:40

Market. So when I look at what's

33:43

happening and the backing that we're

33:44

seeing of these platforms and you know I

33:49

feel like most of us agree that it's

33:51

gambling. I feel like most of us agree

33:53

that it's not really

33:56

investing or it's it's closer to

33:58

gambling than it is to investing. And

34:00

yet it does seem that we're all on board

34:02

that it's just gonna happen anyway. Do

34:05

you think that that is the case? I mean,

34:07

you don't want to infantilize

34:10

investors and say, "No, you're not

34:12

allowed to bet on stuff." But I don't

34:15

know. At the same time, there there

34:17

seems to be a lot of risk involved here,

34:19

a lot of downside, and people could get

34:21

burned. I mean, what do you make of the

34:23

fact that it seems that America has

34:27

decided this is fair game? we do this as

34:30

a society and as you pointed out we

34:33

don't want to tell people you we know

34:34

what's good for you. Uh, and so to the

34:37

degree that um somebody wants to make a

34:40

reasonable wager for entertainment

34:42

purposes on um on on Monday's national

34:47

title game, I'm like, okay. But to the

34:50

degree that um somebody tries to

34:53

convince us that we can fold uh

34:55

something on poly market about some

34:57

geopolitical event into a portfolio of

35:00

stocks and bonds, that's that may be a

35:03

bridge too far. What about um ICE

35:06

investing in poly market? You know, it's

35:11

it they think that there's something

35:12

there. They think it will continue to

35:14

grow. They may see other opportunities.

35:17

For example, there may be the

35:18

opportunity to do uh something that is

35:21

more strictly financial. Where will the

35:24

S&P 500 be at the end of the month? Will

35:27

the Federal Reserve cut rates uh before

35:30

the April meeting? For most people,

35:32

those are not hedges. And if you want to

35:34

hedge that, there are better venues than

35:36

a prediction market that's going to be

35:38

zero or 100 at the end of the day. And

35:40

that's why I say they're not hedges. If

35:42

it's zero or 100 at the end of the day

35:44

and there's nothing in between, that's

35:46

not a hedge, that's a bet. Uh and so ICE

35:50

sees some upside, they see some

35:52

opportunity. Okay? Even if you're not a

35:54

fan of crypto, uh you have to admit that

35:56

blockchain is a tremendous opportunity.

35:59

And so you might want to invest in a

36:01

blockchain company.

36:03

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38:46

We're back with Profy Markets. Let's

38:48

talk about the bubble. Uh the the

38:51

potential bubble.

38:54

um this has been kind of dominating the

38:56

conversation. What is your view on this?

38:58

Do you believe we are in a bubble? Are

39:00

we not in a bubble? Uh how do you think

39:02

it all unfolds in 2026?

39:04

>> If you've been paying attention in say

39:06

finance for the past 12 months, you know

39:09

that AI,

39:11

I was going to say has the capacity to

39:13

change things fundamentally.

39:16

I'll go further. I believe AI will

39:18

change things fundamentally in finance

39:20

in the next 5 years. Are we in a bubble?

39:23

In 1999, if you look at some of the

39:25

valuations for those internet

39:27

businesses, you know, a lot of them were

39:29

losing money and they were still trading

39:33

at 100, $200, $300 a share. Another

39:36

paper that I wrote about in my book is

39:39

in 1999 the average jump if somebody

39:42

just added com to their company name um

39:46

even if they had nothing to do with the

39:48

internet uh bobsplumbing.com

39:50

if it's publicly traded it would tend to

39:53

jump the next day. Uh that's clearly a

39:56

bubble. What about AI?

39:59

You know if you look at some of the big

40:00

names that are involved whether it's

40:02

Google or Nvidia these they're big

40:04

names. uh but they make good money. PE

40:07

ratio can be really high. So you gota

40:11

really believe the story. But you know

40:13

we've not had a bunch of crazy IPOs of

40:16

AI companies. And so are we in a in are

40:19

we in a bubble? I think we're in a

40:21

little bit of a bubble but this could be

40:23

a bubble that we grow into. I just AI

40:25

just has so much potential uh to change

40:30

what we do, how we do it that um if you

40:35

want to invest with a thesis that AI is

40:38

really going to change the world in the

40:40

next 5 years. I'm never going to try to

40:42

dissuade you from that. Although I would

40:45

hope everybody would do it in a sensible

40:47

way.

40:48

>> Going back to your point that you know

40:49

you've written this book about crashes,

40:51

a history of the United States of five

40:52

crashes. you say that there's always

40:54

this some financial contraption that

40:57

comes in at at the totally wrong time.

41:01

Um portfolio insurance was an example.

41:04

Um mortgage back securities in in the

41:07

previous crash. Uh looking at let's

41:10

assume that maybe it's a bubble

41:13

um or that we have one in the next few

41:17

years. What do you think the financial

41:20

contraption would look like in the next

41:24

few years? Or is there anything are

41:25

there any financial instruments that you

41:27

find more concerning than others right

41:31

now?

41:31

>> Yeah, and that's that's the question.

41:32

And the other question is when's the

41:34

next one going to happen? Yeah. And I'll

41:35

be the first one to to point out that I

41:37

am not a bear. Uh the stock market tends

41:40

to go up over time. I write about five

41:41

crashes. Uh and the first one happened

41:44

in 1907. So that's that's that's five in

41:47

in well longer than a century. So uh

41:49

they're rare which is great because they

41:51

crashes do tremendous damage to investor

41:55

psyche and for a long long long time.

41:57

People who lived through the crash of

41:59

1929 even if they lived uh another 30 or

42:02

40 or 50 years many of them just refused

42:04

to ever trust the stock market again.

42:07

These contraptions uh they inject

42:09

leverage at the worst possible time. Uh,

42:12

and you know, mortgage back securities

42:15

at the time they were invented, they

42:17

were a wonderful thing, perfectly

42:19

reasonable, great solution to a problem.

42:23

Uh, but now, uh, you do have to look

42:26

around every once in a while and see if

42:28

you can't find the contraption that

42:30

could cause problems in the future. Uh,

42:33

I don't think it's crypto because I

42:35

don't think people will be able to get

42:36

enough leverage in crypto. I don't think

42:39

it's prediction markets because I don't

42:40

think they can be big enough to bring

42:42

down the entire what is it $40 trillion

42:45

US stock market. But one thing that

42:48

could cause real problems is private

42:50

credit

42:52

>> for a couple of reasons is it's opaque.

42:54

It's huge and it has the potential to do

42:58

a little bit like what long-term capital

43:00

did in the late 1990s. And that is if

43:03

the problems in private credit get big

43:05

enough and again it's opaque. you don't

43:08

know how big the market really is. Then

43:10

it could it could come along and and be

43:12

sneaky dangerous for one of the big

43:15

pillar financial organizations, whether

43:17

it's a big investment bank or one of the

43:20

big commercial banks. And if that were

43:22

to happen, then again, we'd have

43:23

something like uh what happened with

43:25

long-term capital. Um S&P lost 14% in

43:29

the month that year. So I I think that's

43:33

the real risk and again largely because

43:35

it's opaque. This seems to be the story

43:37

that that needs a lot more attention in

43:39

2026. I mean, I think that when we when

43:44

we look at the possibility of there

43:46

being a bubble, I compare it to what we

43:50

saw in 99 and 2000, for example, where

43:53

there was way more leverage um on on the

43:57

biggest names. And so, it was a lot more

43:59

concerning. Also, the valuations were

44:01

were way higher and way crazy than we're

44:03

seeing today. So I'm not that concerned

44:05

about it right now to be honest. But the

44:08

part where I do get a little concerned

44:10

is a lot of the leverage is actually

44:13

tied up in these private credit firms

44:17

for which we we know almost nothing

44:18

about. Like you know Meta is building

44:21

these data centers and then we saw what

44:23

happened with Blue Owl where they're not

44:25

actually reporting the debt on their own

44:28

balance sheet. it's being outsourced to

44:30

all of these other private credit firms

44:32

and we don't really know where the debt

44:34

even is. And once I started to realize

44:37

that, suddenly I started to think, okay,

44:39

well, we we're trying to measure the

44:42

leverage. We have no idea. We don't have

44:46

a clue. So, it's almost moot to try to

44:50

do that right now. If you have this

44:52

massively expanding industry that is

44:55

private credit and which is new and

44:57

which has caused some bankruptcies that

44:59

we've seen, First Brands would probably

45:01

be the best example. Um, so I I I guess

45:05

I appreciate you bringing it up and I

45:07

appreciate hearing that it is a concern

45:09

to you. How big of a concern is it to

45:12

you?

45:12

>> It is a big concern. Unfortunately, it's

45:14

difficult to quantify now. Um,

45:18

why is it a concern? Well, not only is

45:20

it is it big, we do know it's big, it's

45:22

opaque, but also these are often uh

45:25

second and third tier credit risks. So,

45:27

if you're a AAA company and you want to

45:29

borrow money, there are lots of ways you

45:32

can do it very cheaply. Uh if you're

45:35

just a couple of notches above junk,

45:37

then that's when you go into the private

45:39

credit market. And uh so that's that's

45:43

why it's dangerous. Uh and the fact that

45:45

we're just now becoming aware of the

45:46

problem, I think, is a problem in and of

45:49

itself. for example, most people in

45:51

finance had never even heard of

45:53

portfolio insurance until the Wall

45:55

Street Journal started writing about it

45:58

in early October of 1987. Looking ahead

46:01

to the rest of the year, um any things,

46:06

any themes that you think that we should

46:08

be paying more attention to perhaps that

46:10

we're not talking enough about? Anything

46:12

that you're really focused on going into

46:14

the year? Yeah, I I think one thing to

46:16

pay attention to is the fact that the

46:18

Federal Reserve is going to lower

46:20

interest rates through the remainder of

46:22

the year. Um, Chairman Powell is going

46:25

to lose the chairmanship uh this spring.

46:28

Uh the new chair is almost certainly

46:31

going to have promised President Trump

46:33

that they'll drive to lower rates. Uh I

46:36

think they'll be able to do that. But

46:38

Ed, I would I would make two points now.

46:40

rates should not be lower because if you

46:43

look at the Fed's dual mandate, it's

46:45

inflation of 2% or less. Well, we

46:46

learned today that inflation's at 2.7%.

46:50

So the the way that you bring inflation

46:52

down is not to lower interest rates and

46:54

allow people to buy even more stuff.

46:57

Second thing is second part of the dual

46:59

mandate is is employment full employment

47:01

as generally considered unemployment

47:03

rate of 5% or below. Well, the

47:05

unemployment rate is 4.4%.

47:08

So lowering rates is just not

47:10

appropriate for the current environment

47:11

we're in unless you're looking at it

47:13

from a political point of view. Second

47:15

point about rates, the Federal Reserve

47:18

has done way more damage, way more

47:20

damage. And they did this in 2002

47:23

through 2006, and they did it in 1929.

47:27

They do way more damage when they keep

47:29

rates too low for too long than they do

47:31

when they hold rates steady or keep them

47:33

even a little bit too high. So, it is so

47:36

easy when money is cheap, it's so easy

47:38

to borrow and rush out and buy a bunch

47:41

of stocks.

47:42

>> It sounds like maybe your biggest risk

47:44

of the year, which I think I'd probably

47:46

agree with, would be inflation. Um, I

47:49

mean, that that is that is the downside

47:51

here is if we continue to lower rates.

47:54

Also, I mean, we look at the inflation

47:55

numbers that we're seeing because we

47:58

have all of this data that we didn't get

47:59

in October, it's likely a lot higher.

48:03

and you look at any third party uh firm

48:06

that's measuring prices, they'll tell

48:07

you it's 3% or higher, which all makes

48:10

me think, I mean, it makes me even more

48:13

concerned about the inflation problem um

48:15

that we're trying to paper over it with

48:17

this data that you can't really trust

48:19

right now. Plus, we've got this pressure

48:21

on the Fed to lower rates. Plus, this 2%

48:25

number, which is their stated goal, and

48:28

it seems they've just abandoned it.

48:30

It seems at least um is is inflation

48:33

sort of your your number one risk in in

48:35

26

48:36

>> inflation? Yes. But not just uh what it

48:39

costs to fill up your your supermarket

48:41

basket, but what happens when rates are

48:43

too low then all sorts of assets get too

48:47

expensive. And by too expensive, I mean

48:49

expensive beyond fundamentals in a way

48:51

that is dangerous. It doesn't matter if

48:53

it's the stock market or the bond market

48:55

or precious metals or crypto or

48:57

whatever. Um, I think I think that's the

48:59

real risk because once these get to

49:02

levels that are unsustainable,

49:04

then if there's a shock or people start

49:06

to backtrack a little bit or rethink,

49:09

then we get a you can get a really

49:11

violent reaction. And and that's the

49:14

danger. And again, there's no way to

49:17

reconcile the economic data we're

49:19

getting and a Federal Reserve that's

49:23

likely to cut interest rates by say 75

49:25

basis points through the rest of the

49:27

year.

49:27

>> Just before we wrap here, um you've had

49:30

an incredible career um as an investor,

49:33

as a trader. You're also a writer. Um

49:37

any advice for young investors who are

49:41

thinking about their portfolios this

49:43

year? What would your advice be to young

49:46

people today?

49:46

>> Yeah, to young people today would be

49:48

very simple. Max out your 401k.

49:51

Max out your potential IRA contribution.

49:54

Invest that money in a very reasonable

49:58

uh basket of assets. If you're not yet

50:00

30, that's probably 7030. If you're 30,

50:03

it's probably 6040. And by that, I mean

50:05

S&P versus bonds. Uh and don't trade it

50:10

if it's an investment for the long term.

50:14

Don't trade it. Don't think you're

50:15

smarter than the market because there

50:17

are a number of biases that convince

50:19

people that they should be trading out

50:21

their their retirement money, their

50:23

investment money all the time. Don't

50:26

leave it. Max out your contributions,

50:29

but then leave it alone and you'll be

50:32

amazed the the amount of money you'll

50:34

have in 10 years.

50:35

>> Scott Nations is the author of The

50:37

Anxious Investor, as well as a history

50:38

of the United States and five crashes.

50:40

Scott is also the president and chief

50:42

investment officer of Nation's Indexes,

50:44

the world's leading independent

50:46

developer of volatility indices and

50:48

option strategy indices. Scott, really

50:51

appreciate your time. Thank you.

50:53

>> Thanks so much.

50:56

>> Thank you for listening to Prof Markets

50:58

from Profit Media. If you liked what you

50:59

heard, give us a follow and join us for

51:01

a fresh take on markets on Monday.

Interactive Summary

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The interview discusses how human biases, shaped by evolution, negatively impact investment decisions. Behavioral biases like loss aversion and the disposition effect (selling winners, holding losers) reduce investment returns. The conversation highlights the 'fantastic objects' bias, where investors are drawn to stocks associated with charismatic founders like Elon Musk, often overlooking fundamentals. The role of 'stories' in driving market valuations is contrasted with 'numbers,' and the difficulty of distinguishing between them is acknowledged. The discussion then shifts to market dynamics in 2026, focusing on extreme volatility, potential bubbles (particularly in AI), the explosion of options trading (especially zero-day options), and the rise of prediction markets. Private credit is identified as a significant risk due to its opacity and scale. Finally, advice for young investors emphasizes maximizing 401k and IRA contributions, investing in a diversified portfolio (e.g., 60/40 or 70/30 stocks/bonds), and avoiding frequent trading.

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