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Should you invest when stocks are at all time highs?

Should you invest when stocks are at all time highs?

Released Wednesday, 17th January 2024
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Should you invest when stocks are at all time highs?

Should you invest when stocks are at all time highs?

Should you invest when stocks are at all time highs?

Should you invest when stocks are at all time highs?

Wednesday, 17th January 2024
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Episode Transcript

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1:15

Hello and welcome back to the Canadian Money Roadmap

1:17

podcast . I'm your host

1:19

, evan Neville . On

1:23

today's episode , I'm going to be answering the question

1:25

of should you be investing in stocks when

1:28

the market is at an all-time high ? I got

1:30

this question a few times recently

1:32

, and so I thought I'd break down a few of the things

1:34

that I think about when answering this question . There's

1:37

a few numbers and percentages and all sorts

1:39

of things in the answer here

1:41

, so I'm breaking this into two parts

1:43

, and so this is part one of answering

1:46

the question should you invest when the market

1:48

is at all-time highs ? When

1:55

the new year rolls around and everybody has their new TFSA

1:58

contribution room , a lot of people start

2:00

asking this question . I've seen it online

2:02

. I got this question from existing clients

2:04

and it's fair , especially after

2:06

looking at a great year for

2:08

the stock market , like we saw last year , especially

2:10

in the US . I know a lot of you listening and a lot

2:13

of my clients would have more of their

2:15

money invested in US stocks than Canadian

2:17

stocks or international as well , and

2:19

so if the S&P 500

2:21

is close to all-time highs , the

2:24

question inevitably comes up , and this has happened

2:26

before , not just right now , but it comes

2:28

up all the time . If the stock market is

2:30

at an all-time high , should I wait

2:32

to make a new investment just

2:34

in case it crashes now that

2:36

it's at an all-time high ? There's a few things

2:38

to break down in there and perhaps a few

2:41

misconceptions , so I'm going

2:43

to chop this up into a few

2:45

different sections and in this

2:47

week's episode I'm going to look

2:49

at some data that tell us

2:51

what has happened in the past

2:53

, and next week I'm going

2:55

to talk about valuation and how that might

2:57

be different than understanding just

2:59

the price level of

3:02

any sort of investing index

3:04

or anything like that . Okay

3:07

, so let's get into this . So currently , our

3:09

price is actually at all-time highs . That's

3:11

a fair question to ask . If I'm looking today

3:13

at the S&P 500 , it's

3:15

pretty darn close actually . So last year

3:17

was pretty good , 2022 was

3:19

pretty rough , and so the last time

3:21

we saw an all-time high for the

3:23

S&P 500 was back at the end

3:25

of 2021 . We're looking at

3:27

Canadian stocks . We're not quite there yet , but

3:30

it's not too far off , so the question probably

3:32

remains . For stocks in

3:34

general , yes , returns were good broadly

3:37

speaking around the world last year . A

3:39

few anomalies here and there , I guess , but some

3:41

markets were great , some were poor , but almost

3:44

universally back in 2022 , things

3:46

were pretty rough , so we're kind of making up for

3:48

a previous year there , and

3:51

so pretty much any pure stock index

3:53

that you look at has this kind of deep V . That

3:56

happened 22 , 23 , and

3:58

here we are now . So we're either approaching or

4:00

at all-time highs for most stock

4:03

indexes that the average person is going to be taking

4:05

a look at . You can look at the US , canada

4:07

, japan , germany . They're

4:10

all pretty well close to their

4:12

respective all-time highs . So

4:14

, yes , this is a fair question to ask , given where

4:16

things are right now . So , number two why does that make

4:18

some people nervous ? Well , the fear

4:20

is that if prices are at all-time

4:23

highs , they're more likely to drop . The

4:26

idea that stock prices

4:28

reflect some sort of cliff that

4:30

eventually happens . No one

4:32

wants to invest money if they think they're going to lose

4:35

money , and so if an all-time

4:37

high represents an impending

4:39

collapse , then this sounds

4:41

reasonable . So a fewPodcast countries have chosen to pop now a Franz 레�о jog toาน LED speakers back

4:43

to London . When I answer this question

4:45

, or I take a look at this , I want to

4:47

base my decision on data

4:49

and good data , and

4:52

an abundance of it , so that I'm

4:55

blindly doing one thing

4:57

or the other . So I would like to

4:59

take a little bit of a closer look at what the data

5:02

tell us . So I'm going to get this information

5:04

from Dimensional . I've talked

5:06

about Dimensional on the podcast before , but they

5:08

are kind of the pioneers of evidence-based

5:11

investing and they put out some really

5:13

great research on various

5:15

investing topics and this was one of them from last

5:17

year . So their title

5:20

for this bit of research . They said why a stock

5:22

peak isn't a cliff , and

5:24

what they did was they said okay , well , let's

5:26

take a look at what performance

5:28

has been on a one , three

5:30

and five-year basis after the

5:32

stock market had reached a previous all-time

5:35

high . So they looked at the S&P 500

5:37

and they looked at the monthly

5:39

closing level , so

5:41

whatever the price was at the end of the month between

5:44

1926 and

5:47

2022 . So

5:49

we've got over a thousand months within

5:52

that period of time to evaluate

5:55

. And so when they looked at the price

5:57

levels during those near 100-year

5:59

period of time , they found that

6:02

30% of those months

6:04

were new highs . So

6:06

what they did from there is you

6:08

can take a look at what the returns

6:11

are after those periods

6:13

of time . But also when

6:15

you have a large data set like that you

6:18

can find out what the returns are for

6:20

a random month or the average

6:22

of any month throughout the entire

6:25

period . So this was really interesting

6:27

. So they found that 30%

6:29

of the months were

6:32

at all-time highs . So this is very

6:34

common . Okay , this isn't

6:36

a you know odd event , but

6:38

that also makes sense . They kind of add this at the end of

6:40

the research here

6:42

, and I'm just going to read it verbatim , because they nailed

6:44

it it says that stocks are

6:46

priced to deliver a positive expected

6:49

return for investors every day . So

6:51

reaching record highs with some regularity

6:53

is exactly the outcome one would expect

6:56

. This makes good sense

6:58

, right ? If the stock market

7:00

represents what the average investor

7:02

or the collective of investors have deemed

7:04

to be the fair price for businesses that are

7:06

growing and selling and producing things

7:08

, there is an expected return

7:11

for these types of things , and so

7:13

if there's an expected positive return for

7:15

it , they've got to be at all-time

7:17

highs relatively frequently . So

7:19

, without getting into too much theory here , let's hop back

7:22

into the numbers . So let's just look at

7:24

the months that ended

7:26

at a record high . Now

7:28

, for those of you that are just listening to the podcast

7:31

, I'm going to have a YouTube video

7:33

where you can see this graph . So if you're a bit more

7:35

of a visual learner , hop over to YouTube and you

7:37

can find the video with a similar title

7:39

here and I'll be walking through it so you can see the

7:42

graph a little bit better . But for the months

7:44

that ended at a record high , one

7:46

year later the average return

7:48

one year after the market was at an

7:50

all-time high 13.7%

7:53

. That is

7:55

pretty darn good . And then three years

7:57

later , 10.6% . Five

8:00

years later , 10.2% . Small

8:03

caveat here that these are not any

8:05

sort of ETFs or investment that you can actually

8:07

buy , but this is just the return of the index

8:09

. Yeah , you can buy index funds that are

8:11

getting pretty close , but it's just worth throwing

8:13

the little disclaimer in there . But for one year

8:16

performance 13.7%

8:18

. After One year

8:21

of an all-time high . That is nearly

8:23

double what you would expect in

8:25

a given year , especially on a go-forward

8:27

basis . Again , here's my another little

8:29

caveat . But past performance is not a guarantee

8:32

of the future results . But after a hundred

8:34

years we've got enough information here

8:36

that tells us something , right

8:38

? So let's talk about the months that

8:40

ended at any level , not just

8:42

the ones that Ended at an

8:44

all-time high . So for a random

8:47

period of time or a random starting

8:49

point . One year later , the

8:51

average return was actually only 12.4

8:54

percent . So on a really short-term basis

8:56

, historically speaking , only your

8:58

Returns have been higher

9:00

when investing at all-time highs

9:03

than any other random month . Not

9:05

exactly what one would expect . If you're

9:07

asking the question of should I wait to

9:10

invest after the stock market's an all-time high , this

9:12

might point to a little anomaly called

9:14

momentum , the momentum factor , where stocks

9:17

will kind of continue going in an upward

9:19

trajectory . Perhaps it's

9:22

because of enthusiasm or Excitement

9:25

or things like that , but there's , there's a momentum

9:27

factor that comes into play a little bit . That

9:29

is really hard to quantify from an academic level

9:31

, so maybe this is part of momentum coming into

9:33

play here . So again , any

9:35

month throughout this period

9:37

of time , three years later , 10.7

9:40

percent and five years later , 10.3

9:43

and these are each 0.1

9:46

percent higher than the returns

9:49

that we've seen in the past . For

9:51

the months that ended at an all-time high , again

9:53

those were 10.6 and 10.2 respectively

9:55

. This is not a meaningful

9:57

difference of 0.1 percent

10:00

over five years or three years to

10:02

make any sort of decision based on timing

10:04

. Right , if we're seeing that five years

10:06

later you're more likely to have lost

10:09

money Versus a random month

10:11

where you would have gained 10.0 percent , it's

10:13

like , okay , there's , there's something here . Right

10:15

, there's , there's a potential market timing

10:18

Opportunity here , but the data

10:20

does not show that . Okay

10:22

, so when ? If you're just looking at average

10:25

returns , like we did , they've been objectively

10:28

great , even when investing at

10:30

all-time highs . But in terms of the number

10:32

of times they were up , so

10:35

a year later after being

10:37

at an all-time high , 81% of the time

10:39

a year later , it's positive again , and 86%

10:42

of the time after five years , okay

10:44

, this is not a coin toss , this is just

10:47

what it has been . Again , it's not a guarantee

10:49

and it's not a hundred percent , but it's

10:51

pretty good . My belief would be

10:53

that the data does not

10:55

actually point to any sort of Market

10:58

timing strategy that you could

11:00

be employing here , by waiting it out after

11:02

the market hits an all-time high or anything like that

11:04

. So my conclusion is

11:06

that , well , there's always a chance of the stock market could

11:08

decline immediately after you make an investment . It

11:11

could definitely happen , doesn't matter where

11:13

the price level is . The data Do not

11:15

support the idea that a stock market high

11:17

is a predictor of an impending crash or

11:19

a ceiling on potential returns or

11:21

anything like that . So , as a result , I

11:24

do not recommend that people try to time when

11:26

they make new purchases based on the current level

11:28

of their respective benchmark

11:31

. So maybe that's the S&P 500 . Maybe

11:33

that's the TSX , maybe that's something else

11:35

. Side note if the S&P 500 is

11:37

at an all-time high but you're a bond investor

11:39

, or if you're looking at Canadian stocks

11:41

only and you're trying to do some sort of market

11:43

timing thing based on this , you're comparing different things

11:45

anyways , and this is kind of a moot point . This

11:48

is something that I see all the time . So for someone

11:50

that says , well , the stock market's at an all-time high

11:52

, but half their portfolio is planning

11:54

to be in bonds even if this were

11:56

true , you need to look at a broader

11:59

data set that includes something about bonds , but

12:01

that's not what the data says anyway , so we can thoroughly

12:04

ignore that . So what I hopefully

12:06

have summarized here is that

12:09

, yes , it's reasonable to think

12:11

that , potentially , the market

12:13

could decline after reaching

12:15

an all-time high , but if we use history

12:17

as a guide , the data does not

12:20

support that idea at

12:22

all . So if you are waiting to

12:24

make your new TFSA purchase , I

12:26

would say do that at your own risk , because

12:29

making a TFSA contribution at the beginning

12:31

of the year likely means that you've already maximized

12:34

your contributions there and the value that

12:36

you get from investing in a TFSA is the

12:38

longest time in the market to

12:40

eliminate taxes on investment

12:43

growth . The sooner you can get your money in there

12:45

, the more likely your odds of

12:47

success actually are over a long

12:49

enough period of time . So this

12:51

episode I just took a look at what

12:53

the returns have been and how

12:55

often they are positive , based on

12:58

the market being at an all-time high

13:00

. What I didn't talk about here

13:02

at all is whether an

13:04

all-time high is actually reflective

13:06

of anything . An all-time high

13:09

does not mean that stocks

13:11

are expensive , and an

13:13

all-time high does not signal any

13:15

sort of trouble . The price

13:17

of a stock is not necessarily

13:20

reflective of the valuation . We have to

13:22

look at something else . So it's price relative

13:24

to something else , and so

13:26

that'll be part two next

13:28

week of another way that we could take

13:31

a look at investing at all-time highs

13:33

from the perspective of looking at

13:35

valuation . Thanks so much for listening

13:38

to this episode and we will see you next

13:40

week with part two of this series

13:42

on investing at all-time highs . Thanks

13:45

for listening to this episode of the Canadian

13:47

Money Roadmap Podcast . Any

13:50

rates of return or investments discussed are

13:52

historical or hypothetical and are

13:54

intended to be used for educational purposes

13:56

only . You should always consult

13:58

with your financial , legal and tax

14:00

advisors before making changes to your financial

14:03

plan . Evan

14:05

Neufeld is a certified financial planner and

14:07

registered investment fund advisor . Mutual

14:09

funds and ETFs are provided by Sterling

14:12

Mutuals Inc .

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