HomeVideos

Investing in 2026, Opportunities & Risks Part 2 of 2

Now Playing

Investing in 2026, Opportunities & Risks Part 2 of 2

Transcript

769 segments

0:00

All right, so hello everyone and welcome

0:01

to this video on investing in 2026. What

0:05

are the opportunities and the risks?

0:17

So this is part two of a two-part video.

0:20

Now, if you have not watched part one,

0:21

go watch part one before watching part

0:24

two. In part one I talked about reasons

0:26

to be bullish in the coming year. So in

0:29

summary, there are six tailwinds that

0:31

should drive the market higher next

0:32

year. Number one, US economy remains

0:35

strong and projected to grow next year.

0:37

Number two, the Fed is in the process of

0:39

cutting interest rates and they have

0:41

ended quantitative tightening. That

0:42

increases money supply. Number three,

0:45

S&P 500 companies are performing better

0:48

than expected, expected to grow their

0:50

profits at 15% next year. As AI adoption

0:54

increases, that increases earnings

0:56

growth and profit margins. Number four

1:00

is the one big beautiful bill that does

1:03

a lot of deregulation and there's going

1:04

to be a lot of tax cuts to corporates as

1:06

well as consumers. That would create

1:09

more consumer spending and companies

1:11

would have more earnings

1:13

as they write off more in taxes. Number

1:15

five, the yield curve is upward sloping.

1:18

That's very bullish for the market and

1:20

the 10-year yield is just below 4.2%

1:23

which is a sweet spot.

1:25

And finally, we talked about the fact

1:27

that the market is on a very clear

1:29

uptrend and we are entering or we are

1:32

right now in the fourth year of the bull

1:34

market, which has

1:36

traditionally been a pretty strong year.

1:39

Now again, as we know, we can't just

1:41

look at the positives. We have to look

1:43

at the negatives. So in this video,

1:46

let's take a look at the bearish thesis.

1:49

What could go wrong and what are the

1:51

risks and the threats that we need to

1:53

pay attention to?

1:55

So there are basically six

1:58

risks to the market or six reasons

2:02

people say the market will go down,

2:04

right? So let's tackle them one by one.

2:06

Number one, this argument has been

2:09

going around for quite a while. A lot of

2:11

people are saying that the stock market

2:13

is overvalued, it's expensive, it's a

2:15

bubble, it's going to burst.

2:17

And people are still saying that, all

2:19

right? Number two,

2:20

the labor market is weakening. So the

2:23

recent report showed that the

2:25

unemployment rate is now at 4.5%

2:29

which has actually been growing

2:31

steadily, so that's a concern. Number

2:33

three

2:34

is what if inflation resurges as the Fed

2:38

cuts interest rates and with tariffs

2:41

still there, if inflation goes back up

2:44

and the Fed is forced to raise rates

2:45

again, oh that would probably cause

2:47

another crash, okay? Number four,

2:50

we know that right now the uh

2:53

Supreme Court of the US, SCOTUS, is now

2:57

going through the tariffs imposed by the

3:00

Trump administration last year and

3:02

they're going to rule whether it is

3:03

illegal.

3:04

Now if you look at Polymarkets, a lot of

3:07

people are now predicting that they're

3:09

going to rule the the tariffs as

3:11

illegal. And if it's illegal, the

3:14

government may be forced to refund

3:17

billions of taxes it has collected and

3:19

that would not be very good because if

3:21

they refund all the taxes, then the debt

3:24

burden of the government gets even

3:26

worse, people lose confidence, they sell

3:27

bonds and the 10-year yield may spike up

3:30

to dangerous levels. So that's something

3:33

to be concerned about. Number five is

3:35

the uncertainty over the Fed chair

3:37

independence.

3:38

So Fed chair Powell will be retiring

3:41

next year and Trump is already saying

3:43

that I want a new Fed chair that will

3:45

listen to me, he can't go against what I

3:47

want and I want him to cut interest

3:48

rates to 1%, all right? So there could

3:51

be concern that

3:53

if the the Fed is no longer independent,

3:55

creates a lot of uncertainty, that could

3:56

tank the markets as well. And number

3:59

six, next year will be the midterm

4:01

elections which will happen in November

4:04

and the market is pricing in the fact

4:07

that the

4:08

Republicans will probably lose the

4:10

house, the house will go to the

4:12

Democrats, but they'll retain the

4:13

Senate. So usually before the midterms,

4:17

the uncertainty causes a lot of

4:19

choppiness in the market, but once it is

4:21

resolved, once the elections are over,

4:23

the market usually will rebound a lot

4:26

higher after that. So let's analyze

4:28

these points one by one and let's see if

4:30

they hold any water and which are the

4:32

ones that we need to really be wary

4:35

about. So first one would be market is

4:38

overvalued. So people who say that, why

4:40

do they say that? Because they look at

4:42

certain metrics like the PE ratio. And

4:45

they say the PE ratio is high based on

4:47

historical averages. You've heard that

4:49

argument many times. Now, currently the

4:52

forward PE ratio of the S&P 500 is at

4:55

21.8

4:56

times forward earnings. So how does that

4:59

compare? Well, in the last five years

5:01

the average was 20 times earnings

5:04

and in the last 10 years the average was

5:06

18.7 times earnings. So yes, based on

5:10

five to 10-year average, the current

5:13

forward PE ratio of the market is higher

5:16

than the average, but is it at extreme

5:19

highs? Not really. In fact, it was a lot

5:21

higher over here back in 2020. In fact,

5:25

the market is so-called cheaper today on

5:28

a forward PE than it was

5:31

five years ago. But as you guys know

5:33

from my videos, PE ratio by itself is

5:36

very meaningless

5:38

because it doesn't take into account the

5:40

growth of the earnings. So remember that

5:42

a stock with a PE of 30 could be cheap

5:47

if the earnings are growing at 20-30%.

5:50

But a stock with a PE of five could be

5:53

expensive if the earnings are not

5:54

growing. So PE by itself is quite

5:57

meaningless. We have to look at the PE

5:59

versus the growth of the earnings. So

6:01

what is more accurate, I keep saying, is

6:03

to look at what is known as the PEG

6:06

ratio.

6:07

The PEG ratio is the PE ratio

6:10

divided by the growth of the earnings.

6:13

This gives you a better uh valuation

6:17

perspective, right? So as of December

6:21

uh 18th of December, you can see the PEG

6:23

ratio of the S&P 500 is at just about

6:26

1.2 times. Is that high? No. You can see

6:30

that it was at two times

6:34

over here. This was back in '21, '22,

6:37

'20 '22, '23. It was at uh over 2.4

6:41

times here. It was higher here. It was

6:44

higher here. It was higher here. It was

6:46

higher here. It was higher here. So if

6:48

you look at the PEG ratio, the market is

6:50

not at all that expensive if you factor

6:53

in the growth of the companies and the

6:55

companies are growing a lot faster today

6:57

than they were five, 10 years ago. So

7:00

that kind of like

7:02

throws that overvalued argument out the

7:05

window. But I've got more and I've

7:07

showed you this before, but just to

7:08

reiterate, uh this is not a bubble

7:11

because again, the dot-com bubble which

7:13

I went through as an early investor, we

7:16

saw share prices go up

7:18

but the company's profits were nowhere

7:21

near the share price. So that is called

7:23

a bubble. Eventually prices will come

7:25

back down to reality, to the fundamental

7:28

valuation, all right? But today you can

7:31

see, yep, share price is going up in

7:33

brown but the earnings of the company

7:36

are going up in sync with the price. So

7:40

this is not a bubble. Now some people

7:43

would argue that a lot of these earnings

7:45

of the companies are coming

7:47

uh from AI CAPEX expenditure and they're

7:50

spending so much on CAPEX.

7:52

Um

7:53

are they spending too much and are they

7:55

going to is it going to slow down? Well,

7:57

again, if you look at history, no,

7:59

because if you look at AI CAPEX as a

8:02

percentage of GDP,

8:04

it is currently only

8:06

1%.

8:08

And if you compare this AI revolution

8:10

CAPEX buildout to previous

8:14

CAPEX buildouts during the US telecom

8:17

boom in the 1990s, the US ICT hardware

8:20

boom, US electro electric motor

8:23

boom, auto infrastructure, railroads in

8:26

the 1860s, you can see as a percentage

8:28

of GDP, it was a lot higher than AI

8:32

CAPEX spending today. So in other words,

8:34

if you look at AI CAPEX spending, it is

8:36

still a very, very small percentage of

8:39

the GDP. So to in my opinion, I think

8:41

that we are just at the early stages of

8:43

this AI CAPEX buildout. We are nowhere

8:46

near

8:47

the late stages at all.

8:50

And again, the most accurate thing to do

8:52

is to take a bottom-up approach to the

8:54

market, which means we value

8:57

the individual companies that make up

9:00

the S&P 500. So how do we value the

9:02

companies? Depending on the type of

9:04

company. If the company has consistent

9:07

growth in cash flow, we use a DCF

9:10

method. We use a discounted free cash

9:12

flow valuation method. If it's a bank,

9:15

we use a mean price to book ratio to

9:17

value it. If a company has got

9:19

inconsistent cash flow but consistent

9:22

net income, we use a discounted net

9:24

income valuation method. So with Stock

9:26

Oracle, as you guys know, most of you

9:28

are using Stock Oracle, it uses the best

9:31

valuation method depending on the type

9:33

of business.

9:35

So using Stock Oracle, you can see that

9:38

out of the S&P 500 companies, are they

9:41

all expensive? No. So how many are very

9:44

expensive? About 23% of stocks are very

9:47

expensive, which means they're selling

9:50

over 30% above their intrinsic value.

9:54

And 17% of stocks are overvalued, which

9:58

means they're selling between 10 to 30%

10:01

above their valuation.

10:03

And we've got about a third of the

10:04

stocks

10:06

in the index that are fairly priced,

10:08

selling

10:09

uh between plus minus 10% of their fair

10:12

value.

10:13

But we also have got a lot of good

10:15

companies that are cheap right now, that

10:17

are undervalued. We've got 22.4% of

10:19

stocks undervalued

10:21

by more than 10% and 6.8% of stocks that

10:25

are very undervalued by more than 30%.

10:28

So again, in this market, there are

10:29

still good companies

10:32

that are selling at bargain. So what are

10:34

some of these companies? Well, here is a

10:36

sneak peek. You can see that uh you have

10:38

got companies in the industrial sector,

10:41

uh which are undervalued or very

10:43

undervalued. So example, Copart.

10:44

Copart's a great compounding business

10:47

that is currently undervalued. You've

10:50

got software companies like Salesforce

10:52

that are undervalued. You've got

10:53

healthcare companies like United Health

10:56

that is still undervalued. You've got

10:57

technology companies like Maxar. Some of

10:59

them are undervalued. Like Meta is

11:01

undervalued after the recent pullback.

11:04

We've got Microsoft is undervalued.

11:07

We've got Accenture

11:09

under the technology sector, which is

11:10

undervalued. We've got um ServiceNow,

11:13

which is undervalued. So quite a number

11:15

of high-quality companies are

11:17

undervalued. And some of them are fairly

11:18

priced.

11:19

Uh like Amazon, like Broadcom, for

11:22

example, like Mastercard, uh like

11:24

Lockheed Martin, and even Alphabet is

11:27

fairly priced right now. And Nvidia is

11:30

also fairly priced. S&P Global. Some of

11:32

these great companies are underpriced.

11:34

Now if you're wondering, the color

11:35

coding, green means wide economic moat.

11:38

They've got sustainable competitive

11:39

advantage

11:41

that protect them from competition for

11:43

at least the next 20 years.

11:46

The ones in yellow have got a narrow

11:49

economic moat.

11:50

They've got a competitive advantage that

11:52

should protect them for at least 10

11:54

years. And the ones in red, they don't

11:57

really have an economic moat. Although

11:59

the earnings can grow right now, the

12:01

stock price can still go up a lot, but

12:03

in the long term, they could be more

12:06

easily disrupted by competition. Hence,

12:09

red means easily disrupted

12:12

uh in the future. But it doesn't mean it

12:14

can't go up right now. It could still go

12:16

up. So there are some stocks that are in

12:17

red that I may buy, but I don't buy them

12:21

as an investment. I buy them more for a

12:23

medium-term trade or short-term trade,

12:26

usually using using options. Or I may

12:29

enter the stock itself, but I have a

12:31

stop loss in case uh it reverses.

12:34

Because the ones in red are more risky.

12:35

They drop,

12:37

they may not come back. All right? But

12:38

the ones in green, when they drop, I've

12:40

got high confidence that they'll always

12:42

go higher. It's a matter of time. All

12:44

right? It's a matter of patience. And

12:45

the ones in yellow are pretty uh durable

12:48

as well.

12:49

Okay. So that's the first

12:52

uh bearish reason uh that I have come up

12:54

with this quarter. Now the second reason

12:56

to be bearish is that the labor market

12:59

has been weakening.

13:01

So

13:02

uh some of you will notice that the last

13:04

data point showed that the US

13:06

unemployment rate has actually been

13:09

creeping up quite a bit in the last 2

13:12

years. And now the unemployment rate is

13:14

above 4.6%, which is a 4-year

13:17

high.

13:19

Now, is this something to be worried

13:20

about? And does an increasing

13:21

unemployment rate signal

13:24

a potential recession? The answer is

13:27

yes.

13:28

Historically. So historically, when the

13:30

unemployment rate goes up,

13:32

it's a leading in- indicator of

13:34

recession.

13:36

However,

13:38

this time is a bit

13:40

different. I know that sounds very

13:41

cliché. But this time is a bit

13:42

different. Why? Because for the first

13:45

time, we have got GDP growing

13:48

and unemployment rate also growing. So

13:51

this is called a jobless

13:53

economic growth. So why is this

13:55

happening? Okay? So the reason this is

13:57

happening is because

13:59

companies are not hiring as much people

14:03

to grow

14:04

because they don't need to.

14:07

In the past, you need you needed to hire

14:08

more people to grow, right? Now

14:10

companies are figuring out that I don't

14:12

need to hire more people to grow because

14:13

I can grow with automation,

14:17

with AI, with technology. So they're

14:19

hiring slower, and some are even

14:22

retrenching, especially the tech

14:24

companies.

14:25

So to me, this is not a cyclical issue

14:28

as in the past. Now cyclical means that

14:31

uh the un- unemployment rate goes up,

14:33

recession, and then unemployment rate

14:35

goes down, boom, it is cyclical. But it

14:38

seems that now it's a structural shift.

14:40

So structural means it is a kind of like

14:42

a permanent

14:45

long-term change in the unemployment

14:48

rate. Why? Because of

14:50

artificial intelligence. So a gigantic

14:53

AI is automating

14:56

entire workflows in many industries like

14:58

finance, like law, like like encoding in

15:02

in IT companies. So companies are able

15:04

to increase their output. They're able

15:06

to

15:07

uh sell more products and services

15:09

without adding more employees.

15:12

So this chart shows you clearly

15:15

that, you know, if you look at

15:18

in the 1990s, for example,

15:20

a company in the S&P 500, they needed

15:23

six workers

15:26

for every million in revenue. If I

15:28

wanted to get um another 1 million, I

15:31

need needed to hire six more people,

15:32

right? But I can see that over time, you

15:35

need less and less people for every

15:38

million in revenue generated. In fact,

15:40

currently you can see that right now,

15:43

in on average, you only need two people

15:47

for every 1 million

15:49

in revenue generated.

15:51

Okay? So that's why companies are now

15:53

figuring out that hey, we don't need so

15:55

many people anymore. We have got

15:56

automation, we've got AI, and and that's

15:58

a structural shift.

16:00

And if you look at unemployment, it is

16:03

concentrated in certain parts of the

16:05

economy. It's concentrated right now in

16:08

entry-level white-collar roles that are

16:11

easily replaced by AI.

16:13

And technology-exposed sectors like

16:15

customer service and administrative

16:18

support. And unfortunately, yeah, it's

16:20

towards the younger group, 20 to 25

16:23

years old.

16:24

And this 4.6% unemployment reflects a

16:27

skills mismatch in the short term. Why?

16:30

Because the jobs being created by AI. By

16:33

the way, does AI create new jobs? Yes,

16:35

it does. So the new jobs being created

16:37

are AI auditors, energy grid engineers.

16:41

So these new jobs are not being filled

16:44

by the people being displaced because

16:46

they have not let not yet learned AI to

16:50

fit into the AI economy. So the clerical

16:52

staff, the junior developers, you know,

16:54

they can't fill the new roles.

16:56

So what's the lesson? Is this good or

16:58

bad?

16:58

Is this good or bad? Well, it is very

17:00

good if you own a business. It is very

17:04

good if you're an investor because it

17:05

means that

17:07

you're going to make more profits with

17:08

less people. You've got more profit

17:10

margins. But it's bad if you are an

17:12

employee

17:14

who doesn't know AI. So the the old

17:16

saying goes that AI may not replace you,

17:19

but someone who knows AI will replace

17:21

you. So it's imperative that we all have

17:24

to

17:25

upskill

17:26

Yeah, upskill ourselves with the AI

17:28

knowledge. That's why

17:30

my elder daughter, she just graduated

17:32

from university with a bachelor's in

17:33

communication.

17:35

And before she start before she starts

17:36

working, she's now taking a 6-months

17:39

AI course

17:41

uh from the um SMU, Singapore Management

17:44

University, a certification AI. Because

17:46

I I told them I said, "Unless you're

17:47

AI-trained, you're not being you're not

17:50

going to be able to get a job very

17:51

easily

17:53

uh in in the in the industry today." All

17:56

right? So you've got to do that. Yeah?

17:58

Now, one piece of good news is that

18:00

those people who are employed

18:03

have seen real wage growth.

18:06

So you can see that this is real wage

18:08

growth, which means to say after you

18:10

take away inflation, which means the

18:13

wage growth above inflation, you can see

18:15

has been increasing. So in other words,

18:17

people who are employed are getting paid

18:18

more. They are paid more, they can spend

18:20

more, and so consumer spending is up

18:23

3.5%

18:26

in the last month. And that Sorry, in

18:28

the last quarter, sorry. And that's been

18:29

driving GDP growth.

18:34

So what happens when companies require

18:37

less people to produce more goods and

18:39

services? Their profit margins increase

18:41

because labor is one of the biggest

18:43

overheads of a company. And sure enough,

18:45

you can see that the uh profit margins

18:49

of the companies in the S&P 500 have

18:51

been increasing

18:53

very steadily. And now it's projected to

18:57

expand to 15.5%

18:59

by 2027.

19:02

And this is good news if you own these

19:05

companies. That's why I say you have to

19:06

be an asset owner. You can't be rich

19:08

being an employee anymore. You can only

19:11

be wealthy and secure and secure

19:14

if you own assets

19:16

in this new AI uh economy and AI world.

19:20

Okay?

19:21

So that's the second thing. Now the

19:23

third thing is the resurgence of

19:24

inflation. Is that something I'm

19:26

concerned about? Yes, I am concerned

19:27

about it. Now the good news is that

19:29

inflation

19:30

uh just came in lower than expected at

19:32

2.7% in November. It's the lowest since

19:36

July. Now of course, uh there are

19:38

arguments that the government will shut

19:41

down,

19:42

so many of the components of the CPI

19:45

were missing. So they're saying that oh,

19:46

this is a report.

19:48

Maybe. Yeah, maybe. Yeah. So something

19:51

to be worried about. But the fact is

19:53

that the reported CPI, consumer price

19:56

index that measures inflation, has been

19:59

falling.

20:00

And core CPI has been falling as well.

20:02

And of course Trump says there's no

20:03

inflation, none. Okay, that that to me

20:05

that's a bit of There is

20:07

inflation. It is higher than than the 2%

20:09

target.

20:11

But it is on a downtrend. Now, of

20:12

course, if

20:15

um

20:17

if inflation resurges in 2026,

20:20

and the Fed is forced to raise interest

20:22

rates, then yeah, that could cause a big

20:25

correction or bear market. All right, so

20:27

something to be worried about worried

20:29

about. Now, is that something that I can

20:31

predict? No, I can't. I wish I could I

20:33

just can't, but something to be

20:35

worried about, yeah? Now, the other

20:36

thing is that in June next year

20:40

the Supreme Court will rule whether

20:43

Trump's tariffs have been illegal.

20:46

And there's a high chance that they will

20:48

rule it illegal based on poly market

20:50

betting odds.

20:51

And if they do rule it illegal,

20:54

and if the government is forced to

20:56

refund the billions of dollars, that

20:59

could cause short-term market

21:01

volatility. That could cause the bond

21:04

market to sell off, the Treasury bond

21:05

market to sell off, that could cause the

21:08

the 10-year Treasury yield to spike,

21:10

that could cause a

21:13

short-term

21:14

pullback in the markets. Now, is that

21:16

something I'm concerned about? Not

21:17

really. As a long-term investor, if that

21:19

happens, I'll use it as an opportunity

21:21

to buy great companies if they're

21:22

selling at big discounts during this

21:24

panic selling. If it happens in

21:28

June, okay?

21:30

Next would be the uncertainty over the

21:32

Fed chair independence. So, Jerome

21:34

Powell will be stepping down in May.

21:37

And in January next year, Trump said he

21:40

will name his successor. And he said, "I

21:42

want someone who listen to me. I want

21:44

someone who not go against me. I want

21:46

someone who who slash interest rates to

21:48

1%."

21:49

Now, what happens if that happens? I

21:51

have another video coming out to talk

21:52

about what happens if the Fed

21:55

slashes interest rates to 1%, okay?

21:58

So, I can tell you that

22:00

in the first half of next year, because

22:02

of these uncertainties, which is the

22:05

tariff being ruled illegal, because of

22:07

the Fed chair being changed, that could

22:10

cause

22:11

more

22:12

choppiness or turbulence

22:15

in the market in the before June next

22:18

year, which is the first half. All

22:20

right, so something to be worried about.

22:21

But again, as a long-term investor,

22:23

that's good. Because if the market goes

22:26

down, I buy more. All right, okay.

22:30

And then in November, early November,

22:32

we've got the midterm elections

22:33

uncertainty. And as I said before,

22:35

usually what happens before just before

22:37

the midterms, again the market gets very

22:39

choppy again.

22:41

But if the

22:43

um

22:44

if the the the Democrats win the House

22:48

and the Republicans hold the Senate, and

22:51

of course Trump is Republican White

22:54

House, that is good for markets. Because

22:55

the markets love a gridlock

22:58

a gridlock government. When the

23:00

government is gridlock, market does very

23:02

very well. So, that could cause a bit

23:05

more turbulence leading up to November

23:07

as well. So, speaking of midterm

23:09

elections, like I said, next year will

23:11

be the midterm

23:12

election year, where the House and the

23:14

Senate, many seats are up for elections.

23:18

So, usually is the midterm year, which

23:20

is next year, is it a bullish year?

23:22

Well, it depends. You can see that if

23:25

it's a new president, ooh, then it's not

23:27

very bullish.

23:29

But if it's a second-term president like

23:31

Trump, then it is not too bad, right? It

23:36

historically it has averaged an 8.8%

23:39

gain in the market during a midterm year

23:41

with a second-term president.

23:45

Okay, so in summary

23:47

in summary

23:48

part one we talked about bullish

23:50

reasons, reasons to be bullish. In the

23:52

second part I talked about reasons to be

23:54

bearish and concern, and I dispelled a

23:56

lot of the bearish myths. So, all in

23:58

all, what do I think about next year?

24:00

Now, my guess would be I think next year

24:02

would be bullish, but I don't think

24:04

we'll get another double-digit gain in

24:06

the S&P 500. I think that the gain will

24:08

be a single-digit gain.

24:10

But despite that, despite that, could I

24:14

and you and my students get a

24:16

double-digit gain of more than 20%? Yes,

24:19

we could, even if the S&P's

24:21

single digit. Why? Because by picking

24:23

the highest-performing companies that

24:26

are undervalued, we can outperform the

24:27

market significantly. Plus, if we

24:30

add on options trading, swing trading,

24:33

we can definitely beat the market by a

24:35

wide margin. And I'll create another

24:36

video talking about that in in in a

24:39

short while, right?

24:40

So

24:41

next year

24:43

moderately bullish, but again, remember,

24:45

will the market go up in a straight line

24:47

next year? No, it doesn't go in a

24:49

straight line, right? So, expect there

24:50

will be ups and downs.

24:54

Now, if you take a look at this table,

24:55

you can see that historically every year

24:59

the market will drop

25:01

about

25:03

5% or more at least three times every

25:06

year.

25:07

This is going back

25:09

since 1951. Now, what is this called?

25:12

This is called a pullback.

25:14

Where the market drops less than 10% is

25:17

called a pullback. If the market drops

25:20

10% or more 10% or more, that's called a

25:24

correction. This is called correction,

25:26

and this happens at least once a year.

25:30

And the market, if it drops 15% or more,

25:32

that happens once every 3 years, that's

25:34

a big correction.

25:36

And if it closes 20% or more below the

25:39

high, that's called a bear market. And

25:42

that happens usually on average once

25:44

every 6 years. So

25:45

it will happen, yeah? Now, recall that

25:48

in 2025, this year

25:50

the market is ending up about 17%, which

25:53

is a pretty good year, right? 17%, but

25:55

it was not a smooth ride.

25:58

Right? It was not a smooth ride. We

25:59

didn't go up in a straight line. We

26:00

didn't go up every day, every week,

26:02

every month, right? We had a lot of

26:04

choppiness. So, if we take a look at

26:06

this year, we had

26:08

how many pullbacks? More than usual,

26:10

right? We had actually

26:12

one, two, three, four, five. We had six

26:16

pullbacks this year, which is considered

26:18

more than normal. So again, a pullback

26:21

is

26:23

a bigger than a

26:25

bigger than a 3% drop but less than 10%.

26:29

It's called a pullback, right? So, we

26:30

had, you know, drop 4.4%, 3.3%, 3.3%,

26:33

3.4%, 3.2%, and more more recently drop

26:36

5.7%. And in April, thanks thanks to

26:40

Trump's tariffs announcement, the market

26:43

dropped 21%. Now, people say, "Isn't

26:47

that a bear market?" No, it's not

26:48

considered a bear market because

26:50

a bear market is only if the market

26:52

closes

26:53

more than 20% below the high.

26:56

It touched 21%, but before the end of

26:58

the day it closed above that. So, this

27:01

is not officially a bear market for the

27:03

S&P 500. Although the Nasdaq went into a

27:06

bear market, the S&P did not. It almost

27:08

did. It almost did. So, this is

27:10

considered a big correction. So, this

27:12

happened this year. Do I expect the same

27:14

thing to happen next year?

27:16

Maybe. This could happen next year as

27:18

well. I'm not surprised, right? So, the

27:20

point is that

27:22

we want to buy great companies, but we

27:24

buy them

27:26

when people are fearful. We buy them

27:28

when they are discounts. And they are

27:29

discounts

27:31

when this happens, okay? Now, when will

27:34

this happen next year? I've got no idea.

27:36

I can't predict when it's going to

27:38

happen, but it will happen. It will

27:40

happen. But my guess is that most of it

27:42

is going to happen in the first half of

27:44

the year because of

27:46

again the Fed chair uncertainty, because

27:48

of the tariffs

27:50

ruling, and some of it will happen just

27:52

before November because of the midterms.

27:54

Now, when this happens, guess what? The

27:56

moment the market drops, I will be

27:58

buying good companies at discounts. I'll

28:00

be selling cash secured put options,

28:03

taking advantage of high volatility to

28:05

collect premiums, and

28:08

put credit spreads as well, all right?

28:10

And once I see

28:12

reversal patterns, I will then take

28:14

short-term long trades using bullish

28:15

synthetic spreads to capture the upside.

28:18

So, I think that with the right

28:19

strategy,

28:21

you me, we can definitely get another

28:23

double-digit gain

28:25

next year. So

28:27

some of you may be wondering, "Okay, so

28:28

Adam, which specific sectors or

28:31

industries or stocks should I look at

28:33

next year and and beyond?" I can't cover

28:36

it in this video, so I'll be coming up

28:38

with another video

28:39

in a couple of days, and that video will

28:41

be on the six megatrends

28:45

that will mint millionaires. Coming up

28:47

in the next few days, so subscribe to

28:48

the channel to be alerted the moment

28:50

this video hits. May the markets be with

28:53

you, and I'll see you guys next year. If

28:55

you want to catch my latest videos,

28:57

click on the subscribe button right now.

28:59

Click on the bell so you get instant

29:01

notifications once I upload my latest

29:03

video. If you want to check out my

29:05

online courses, go to how to invest

29:10

and how to trade the financial markets

29:12

and create an income from all around the

29:14

world.

29:15

If you want to join my live Wealth

29:17

Academy program, go on to

29:19

wealthacademyglobal.com

29:21

and find out more about how you can

29:22

learn investing and trading live online.

29:24

This is Adam Khoo, and may the markets

29:26

be with you.

Interactive Summary

This video, as the second part of a series, analyzes the potential risks and bearish arguments for the 2026 stock market. While acknowledging various concerns—such as market overvaluation, labor market weakening, potential inflation resurgence, uncertainty regarding Fed independence, and political factors like tariff rulings and midterm elections—the speaker provides counter-arguments to many of these points. Ultimately, the speaker maintains a moderately bullish outlook for the year, suggesting that while the S&P 500 might see single-digit gains, investors can achieve higher returns through selective stock picking and options strategies, particularly by taking advantage of the inevitable market pullbacks and corrections.

Suggested questions

3 ready-made prompts